# Quantum Computing An emerging computing technology that uses quantum physics and qubits to process information and solve certain complex problems. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## DoE seeking fault-tolerant quantum computer ... by 2028 DevFeed: [DoE seeking fault-tolerant quantum computer ... by 2028]() Original publisher: [Read original article]() Author: Brandon Vigliarolo Published: 2026-09-17T20:09:45Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Quantum Computing](), [Computing]() Tags: [department-of-energy](), [hpc](), [quantum](), [quantum-computing](), [qubit]() ### AI overview The document describes a quantum-computing effort in which entrants receive $250,000 upfront to deliver a demonstration within a year. ### Source excerpt Entrants get $250K upfront to deliver a demo within a year, which sounds totally feasible given quantum computing's track record ## NVIDIA Adds CUDA-Q Logical for Fault-Tolerant Quantum Application Design DevFeed: [NVIDIA Adds CUDA-Q Logical for Fault-Tolerant Quantum Application Design]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-15T16:47:58Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [CUDA](), [Quantum Computing](), [Nvidia](), [Orchestration](), [Open Source](), [Algorithm]() Tags: [ai](), [algorithm](), [applications](), [cuda](), [enterprise](), [nvidia](), [open-source](), [orchestration](), [quantum]() ### AI overview NVIDIA added CUDA-Q Logical to its open-source CUDA-Q platform for designing applications on fault-tolerant quantum computers. Early-access reports say Fermilab reduced an algorithm design cycle from five months to three weeks, while Iceberg Quantum modeled a Diraq spin-qubit architecture using about 150,000 physical qubits for 1,000 logical qubits. ### Source excerpt NVIDIA has added CUDA-Q Logical to its open-source CUDA-Q platform, an orchestration layer for building applications that run on fault-tolerant quantum computers, and it arrives with two numbers that are interesting. Fermilab says the tool cut a fault-tolerant algorithm design cycle from five months to three weeks, and Iceberg Quantum used it to show that The post NVIDIA CUDA-Q Logical Debuts With a 7x Fermilab Speedup and a 10x Cut in Diraq's Qubit Estimate appeared first on StorageReview.com. ## From error mitigation to fault-tolerant quantum computing DevFeed: [From error mitigation to fault-tolerant quantum computing]() Original publisher: [Read original article]() Published: 2026-09-15T14:30:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [Hardware](), [ibm]() Tags: [compilation](), [deep-dive](), [errors](), [hardware](), [quantum](), [quantum-computing](), [quantum-error-correction-mitigation](), [quantum-software](), [real-time](), [reduce](), [resource]() ### AI overview The article describes a continuum from quantum error mitigation to quantum error correction as a path toward useful quantum computing. It reports emerging techniques with lower effective error rates, reduced sampling overhead, and lower resource requirements than conventional approaches. ### Source excerpt A spectrum of error-correcting techniques is enabling useful quantum computation, measured not by logical qubits but by the circuits you can run with them. ## A theoretical separation between quantum computers & LLMs DevFeed: [A theoretical separation between quantum computers & LLMs]() Original publisher: [Read original article]() Author: Srinivasan Arunachalam; Arkopal Dutt; Hari Krovi; Rik Sengupta; Ryan Mandelbaum Published: 2026-09-15T04:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [LLMs](), [Computer science]() Tags: [ai](), [computer-science](), [llms](), [quantum](), [research](), [science]() ### AI overview The article discusses research showing theoretical separations between shallow quantum circuits and restricted large language models. The work identifies computational problems involving function computation and sampling where shallow quantum circuits have a provable advantage, while emphasizing that the results are theoretical rather than immediately practical. ### Source excerpt Recent research further demonstrates the theoretical abilities of quantum computing ## IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026 DevFeed: [IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-11T16:25:47Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [ibm](), [Quantum Computing](), [Supercomputing](), [Cloud](), [Algorithms](), [Optimization](), [Simulation and Design](), [Hardware]() Tags: [2026](), [ai](), [algorithms](), [amd](), [chemistry](), [cloud](), [collaboration](), [core](), [enterprise](), [financial-services](), [hardware](), [hub](), [ibm](), [infrastructure](), [manufacturing](), [optimization](), [processors](), [quantum](), [quantum-computing](), [science](), [simulation](), [supercomputing]() ### AI overview IBM and Lockheed Martin are establishing a quantum innovation hub at ETH Zurich, centered on an IBM Quantum System Two planned for installation at the Swiss National Supercomputing Centre by the end of 2026. The system will use IBM's 120-qubit Nighthawk r2 processor and support research in areas including chemistry, materials science, optimization, and financial services. ### Source excerpt IBM and Lockheed Martin are setting up a quantum innovation hub at ETH Zurich, and its core is Switzerland's first IBM Quantum System Two, to be installed at the Swiss National Supercomputing Centre (CSCS) in Lugano by the end of 2026. The hub comes out of an offset agreement with armasuisse, Switzerland's Federal Office for The post IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026 appeared first on StorageReview.com. ## Switzerland's first IBM Quantum System Two DevFeed: [Switzerland's first IBM Quantum System Two]() Original publisher: [Read original article]() Published: 2026-09-10T07:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [ibm](), [Supercomputing]() Tags: [2026](), [collaboration](), [development](), [hub](), [ibm](), [industry](), [innovation](), [news](), [quantum](), [quantum-community](), [quantum-computing](), [quantum-network](), [quantum-systems](), [research](), [science](), [switzerland](), [technology](), [with]() ### AI overview IBM and Lockheed Martin are launching a quantum innovation hub at ETH Zurich, anchored by Switzerland's first IBM Quantum System Two. Expected to be operational by the end of 2026 at the Swiss National Supercomputing Centre in Lugano, it will expand quantum computing access for Swiss universities, startups, companies, and researchers. ### Source excerpt Lockheed Martin and IBM are launching a Swiss quantum innovation hub at ETH Zurich to advance research, industry collaboration, and workforce development. ## VDURA Deploys High-Performance Storage Platform for AI and HPC at New Mexico State University DevFeed: [VDURA Deploys High-Performance Storage Platform for AI and HPC at New Mexico State University]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-02T10:00:00Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [Artificial Intelligence](), [High-Performance Computing](), [Data Infrastructure](), [InfiniBand](), [Post-quantum cryptography](), [Deployment](), [Training AI Models](), [Hardware](), [Low Latency](), [Quantum Computing]() Tags: [ai](), [data-infrastructure](), [deployment](), [enterprise](), [enterprise-storage](), [hardware](), [high-performance-computing](), [infiniband](), [low-latency](), [post-quantum-cryptography-pqc](), [quantum](), [storage]() ### AI overview VDURA has moved its storage platform at New Mexico State University into full production to support AI and high-performance computing research. The deployment combines NVMe flash and high-density HDD tiers through a global namespace over InfiniBand, allowing separate scaling of performance and capacity. It also supports NMSU's post-quantum cryptography research and large-scale data pipeline projects. ### Source excerpt VDURA has completed the deployment of its data platform at New Mexico State University (NMSU), moving the system into full production. The infrastructure is designed to serve the university's research community with a high-durability, high-throughput storage environment tailored specifically for artificial intelligence and high-performance computing (HPC) workloads. NMSU, which holds Carnegie R1 status and manages The post VDURA Deploys High-Performance Storage Platform for AI and HPC at New Mexico State University appeared first on StorageReview.com. ## IBM Quantum Nighthawk r2--more circuits, faster DevFeed: [IBM Quantum Nighthawk r2--more circuits, faster]() Original publisher: [Read original article]() Published: 2026-08-31T14:30:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [ibm](), [Quantum Computing](), [Hardware]() Tags: [hardware](), [ibm](), [performance](), [processor](), [quantum](), [quantum-computing](), [quantum-error-correction-mitigation](), [quantum-systems](), [release](), [speed]() ### AI overview IBM Quantum Nighthawk r2 uses independent high-speed qubit reset to execute more than 100,000 circuits per second, providing up to 25 times the circuit throughput of IBM Quantum Heron. The 120-qubit processor also supports accurate results on circuits with more than 7,500 gates. ### Source excerpt High-speed, independent qubit reset boosts circuit throughput 25x over Heron while enabling accurate observable estimation on circuits with 7,500+ gates. ## Qiskit Fermions: a modular toolbox for fermionic systems DevFeed: [Qiskit Fermions: a modular toolbox for fermionic systems]() Original publisher: [Read original article]() Published: 2026-08-24T14:30:00Z Content type: release Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [Software](), [Simulation](), [Open Source]() Tags: [open-source](), [quantum](), [quantum-computing](), [quantum-enablement](), [quantum-research](), [quantum-software](), [release](), [simulation](), [software]() ### AI overview IBM introduces Qiskit Fermions, an open-source modular toolbox for expressing fermionic operators and circuits, defining fermion-to-qubit mappings, and compiling fermionic workflows into quantum circuits. The package preserves fermionic structure until transpilation and supports quantum simulation workflows in areas including quantum chemistry, condensed-matter physics, and materials science. ### Source excerpt A new research tool for expressing fermionic operators, circuits, and mappings--and for building efficient fermionic algorithms. ## IBM's new modular architecture for cryogenic systems DevFeed: [IBM's new modular architecture for cryogenic systems]() Original publisher: [Read original article]() Published: 2026-08-19T10:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [Hardware](), [Architecture & Design](), [ibm]() Tags: [architecture](), [hardware](), [ibm](), [news](), [quantum](), [quantum-computing](), [quantum-systems]() ### AI overview IBM describes a modular cryogenic architecture for connecting quantum processors through quantum and classical links. The design is intended to improve scalability, reliability, upgradeability, and support for future multi-chip, fault-tolerant quantum systems. ### Source excerpt Modular approach to housing and cooling quantum processors clears a path for interconnected, fault-tolerant systems. ## QOBLIB: tracking progress in quantum optimization DevFeed: [QOBLIB: tracking progress in quantum optimization]() Original publisher: [Read original article]() Published: 2026-08-12T13:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [benchmarking](), [Optimization](), [Framework](), [Website]() Tags: [benchmarking](), [benchmarks](), [community](), [framework](), [news](), [optimization](), [quantum](), [quantum-algorithms](), [quantum-community](), [quantum-computing](), [research](), [science]() ### AI overview IBM describes updates to the Quantum Optimization Benchmarking Library (QOBLIB), including a Nature Computational Science publication, a new website, and more than 2,000 submitted results. The initiative provides an open, community-driven framework for comparing quantum optimization benchmarks and assessing progress toward practical quantum advantage. ### Source excerpt Quantum advantage is here. The next question is where to apply it. New updates from the Quantum Optimization Working Group offer a glimpse at the path ahead. ## The search for quantum advantage in differential equations DevFeed: [The search for quantum advantage in differential equations]() Original publisher: [Read original article]() Author: Robert Davis Published: 2026-08-03T13:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [Algorithms, Complexity](), [Complex Systems]() Tags: [algorithms](), [complex-systems](), [ibm](), [mathematical-sciences](), [physics](), [q-a](), [quantum](), [quantum-algorithms](), [research](), [systems]() ### AI overview IBM researcher Hari Krovi discusses quantum algorithms for solving certain differential equations and their potential to scale beyond classical methods in selected applications. ### Source excerpt New quantum algorithms could unlock faster ways to model the complex systems behind circuits, fluids, finance, and more. ## Quantum advantage through trusted quantum computation DevFeed: [Quantum advantage through trusted quantum computation]() Original publisher: [Read original article]() Published: 2026-07-30T10:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [Simulation](), [Benchmark]() Tags: [news](), [process](), [quantum](), [quantum-algorithms](), [quantum-computing](), [quantum-error-correction-mitigation](), [quantum-research](), [reporting](), [science](), [techniques](), [the-result](), [validation](), [verification]() ### AI overview IBM reports three papers demonstrating quantum advantage with built-in validation, including validated error-mitigation techniques and methods for certifying classically hard quantum computations. The article explains how these approaches aim to establish trustworthy results when exact classical verification is unavailable. ### Source excerpt Demonstration shows trusted quantum computation in regimes where classical methods fail. ## NVIDIA Ising Enables Fully Automated Quantum Computer Calibration with Enhanced In-Context Learning DevFeed: [NVIDIA Ising Enables Fully Automated Quantum Computer Calibration with Enhanced In-Context Learning]() Original publisher: [Read original article]() Author: Tanya Lenz Published: 2026-07-27T16:00:00Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Ising](), [Quantum Computing](), [vlm](), [Nvidia](), [Open Source](), [Benchmark](), [benchmarking](), [NVFP4](), [DGX Spark]() Tags: [agentic-ai-generative-ai](), [ai-agent](), [benchmark](), [benchmarking](), [data-science](), [dgx-spark](), [featured](), [ising](), [nvfp4](), [nvidia](), [open-source](), [quantum](), [quantum-computing](), [simulation-modeling-design](), [training-ai-models](), [vlm](), [vlms]() ### AI overview NVIDIA Ising Calibration 1.5 is an open-source vision-language model for interpreting quantum-processor diagnostics and recommending calibration actions. The article highlights zero-shot and in-context learning evaluation on QCalEval, plus an NVFP4-quantized version for local deployment. ### Source excerpt NVIDIA Ising Calibration is an open source vision language model (VLM) designed to interpret diagnostic outputs from quantum processors and determine how they... ## What are spin qubits? DevFeed: [What are spin qubits?]() Original publisher: [Read original article]() Published: 2026-07-23T11:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [ibm]() Tags: [acquisition](), [explainer](), [ibm](), [quantum](), [quantum-computing](), [quantum-research](), [quantum-systems](), [research]() ### AI overview IBM explains spin qubits, including how electron spin can encode quantum information and how quantum dots control individual electrons. The article discusses spin qubits in the context of IBM's acquisition of HRL Laboratories and the scaling of quantum technologies. ### Source excerpt Spin qubits are an important element of IBM's recent HRL Laboratories acquisition. ## IBM commits $50M in quantum access for US Genesis Mission DevFeed: [IBM commits $50M in quantum access for US Genesis Mission]() Original publisher: [Read original article]() Published: 2026-07-22T20:00:00Z Content type: release Language: en Sources: [IBM Research]() Topics: [ibm](), [Artificial Intelligence](), [Quantum Computing](), [High-Performance Computing](), [Supercomputing]() Tags: [accelerate](), [ai](), [department-of-energy](), [discovery](), [government](), [high-performance-computing](), [ibm](), [news](), [project](), [quantum](), [supercomputing](), [us]() ### AI overview IBM says a project was selected by the U.S. Department of Energy's Genesis Mission to accelerate AI-driven scientific discovery and will contribute up to $50 million in quantum system access. The mission combines AI, quantum computing, supercomputing, and scientific instruments. ### Source excerpt An IBM project was also selected to accelerate AI-driven quantum application discovery. ## Developer and security research roundup: DNS resilience, RIPE NCC token exposure, IPv6 measurement, and quantum cryptography DevFeed: [Developer and security research roundup: DNS resilience, RIPE NCC token exposure, IPv6 measurement, and quantum cryptography]() Original publisher: [Read original article]() Author: Russ Published: 2026-06-19T12:04:04Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Amazon Route 53](), [Resilience](), [Network](), [Security, Privacy and Abuse Prevention](), [Quantum Computing](), [Cryptography](), [Internet]() Tags: [cryptography](), [dns](), [ipv6](), [network](), [public-key](), [quantum](), [resilience](), [rsa](), [worth-reading]() ### AI overview A roundup of developer and security research covering authoritative DNS resilience, exposed RIPE NCC single sign-on session tokens, IPv6 address measurement, asset speculation, and progress toward quantum computers breaking RSA-based public-key cryptography. ### Source excerpt In this post, I discuss our recent work that models and analyses the resilience of authoritative DNS infrastructure that supports individual domain names on the Internet. The RIPE NCC made its all-powerful single sign-on tokens available to over 1000 third parties. From a single link click, any logged-in RIPE NCC user would leak their session token. Identifying active IPv6 addresses is a challenging task, but it's also an important one. As researchers and network operators, it helps us understand the current deployment, identify weak spots that need strengthening, and detect vulnerable devices for disclosure. The fundamental bubble barometer is that speculators buy an asset because they expect the price to keep rising, not because they want the income generated by the asset. Indeed, most speculators don't plan on holding the asset long enough receive any income. Recently, there has been a surge in progress in quantum computing that has shortened the hypothetical timeline on which quantum computers can 'break' traditional public-key cryptography that uses the RSA scheme. ## A Cryptography Engineer's Perspective on Quantum Computing Timelines DevFeed: [A Cryptography Engineer's Perspective on Quantum Computing Timelines]() Original publisher: [Read original article]() Author: Filippo Valsorda Published: 2026-04-06T15:00:00Z Content type: opinion Language: en Sources: [Filippo Valsorda]() Topics: [Quantum Computing](), [Cryptography](), [Post-Quantum](), [Security, Privacy and Abuse Prevention]() Tags: [attacks](), [cryptography](), [hardware](), [post-quantum](), [quantum](), [quantum-computing](), [research]() ### AI overview A cryptography engineer explains why recent research on quantum algorithms, hardware, qubits, and error correction has changed his assessment of the urgency of migrating to quantum-resistant cryptography. He argues that cryptographically relevant quantum computers may arrive within the next few years and could threaten elliptic-curve cryptography and WebPKI. ### Source excerpt The risk that cryptographically-relevant quantum computers materialize within the next few years is now high enough to be dispositive, unfortunately. ## Safeguarding cryptocurrency by disclosing quantum vulnerabilities responsibly DevFeed: [Safeguarding cryptocurrency by disclosing quantum vulnerabilities responsibly]() Original publisher: [Read original article]() Published: 2026-03-31T02:03:00Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [Cryptocurrency](), [Vulnerabilities](), [Post-quantum cryptography](), [Quantum Computing](), [Cryptography](), [Zero-knowledge proof](), [Google]() Tags: [algorithms-theory](), [awareness](), [coinbase](), [cryptocurrency](), [cryptography](), [ethereum](), [google](), [government](), [migration](), [post-quantum](), [quantum](), [quantum-computing](), [research](), [security-privacy-and-abuse-prevention](), [vulnerabilities](), [zero-knowledge]() ### AI overview Google Research describes how future quantum computers could break the elliptic-curve cryptography protecting cryptocurrency with fewer resources than previously estimated. The article recommends transitioning blockchains to post-quantum cryptography and presents zero-knowledge proofs as a way to disclose vulnerabilities responsibly. ### Source excerpt Algorithms & Theory ## Google Research 2025: Bolder breakthroughs, bigger impact DevFeed: [Google Research 2025: Bolder breakthroughs, bigger impact]() Original publisher: [Read original article]() Published: 2025-12-18T23:29:00Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [Google](), [Artificial Intelligence](), [Large Language Model](), [Quantum Computing](), [Algorithm](), [data centers](), [Cloud](), [Bioinformatics](), [Benchmark](), [Kaggle]() Tags: [2025](), [agentic](), [ai](), [benchmarks](), [cloud-data](), [data-centers](), [efficiency](), [energy](), [generative](), [google](), [health](), [infrastructure](), [kaggle](), [llm](), [quantum](), [quantum-computing](), [research](), [resilience](), [science](), [year-in-review]() ### AI overview Google Research's 2025 review describes accelerated progress across AI, generative UI, algorithmic research, agentic models, quantum computing, Earth sciences, genomics, biology, neuroscience, climate resilience, health, and education. It also highlights work improving efficiency, reliability, factuality, and cost and energy use in Google products and cloud infrastructure. ### Source excerpt Year in Review ## A new quantum toolkit for optimization DevFeed: [A new quantum toolkit for optimization]() Original publisher: [Read original article]() Published: 2025-11-13T07:27:00Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [Optimization](), [Quantum Computing](), [Programming](), [Algorithms & Theory](), [quantum mechanics](), [Google]() Tags: [algorithms](), [algorithms-theory](), [google](), [lattice](), [optimization](), [quantum](), [quantum-computing](), [quantum-mechanics]() ### AI overview Google Quantum AI researchers describe Decoded Quantum Interferometry, a quantum algorithm designed to find near-optimal solutions for certain optimization problems that are difficult for classical computers. The approach uses interference from quantum mechanics and depends on solving related lattice decoding problems. ### Source excerpt Algorithms & Theory ## Worth Reading: The Evolution of Network Security DevFeed: [Worth Reading: The Evolution of Network Security]() Original publisher: [Read original article]() Published: 2024-06-29T06:38:00Z Content type: opinion Language: en Sources: [ipSpace.net blog]() Topics: [Security](), [networking](), [firewalls](), [genai](), [Quantum Computing]() Tags: [firewalls](), [genai](), [network](), [network-security](), [quantum](), [quantum-computing](), [security](), [worth-reading]() ### AI overview A recommendation for Sharada Yeluri's introductory overview of the evolution of network security, covering the progression from packet-filtering firewalls to generative AI and quantum computing. ### Source excerpt Sharada Yeluri published an interesting overview of the evolution of network security, from packet filtering firewalls to GenAI and Quantum Computing (yeah, she works for a networking vendor ;). Definitely worth reading if you're looking for an intro-level overview. ## What could quantum computing do for Automotive Companies? DevFeed: [What could quantum computing do for Automotive Companies?]() Original publisher: [Read original article]() Author: Bahram Ganjipour Published: 2024-01-29T08:05:33Z Content type: article Language: en Sources: [Volvo Cars Engineering - Medium]() Topics: [Quantum Computing](), [Combinatorial optimization](), [datasets]() Tags: [algorithms](), [automotive](), [automotive-industry](), [combinatorial-optimization](), [ev-battery](), [machine-learning](), [quantum-computing](), [simulation]() ### AI overview The article discusses potential real-world uses of quantum computing for automotive companies, including constrained combinatorial optimization, quantum algorithms compatible with NISQ hardware, quantum programming, and simulation. It also describes how machine learning and large datasets relate to data-intensive business problems, while noting current limitations and the need to compare quantum and classical performance. ### Source excerpt In the final post of this series on the rise of quantum computing, Bahram Ganjipour, a senior software engineer and quantum computing lead at Volvo Cars, goes over some of the real-world use cases of this fast-moving technology -- as well as the current limitations on its potential. What exactly can quantum computing assist us with? As highlighted in the first post, one of the main hurdles for any organization when it comes to quantum computing (QC) is the need to comprehend the business potential of quantum computing. This understanding is crucial for making informed decisions regarding the adoption of quantum computing technologies. Early adoption of quantum computing can help companies in navigating this complex landscape and distinguishing between hype and real opportunities. By embracing QC early on, organizations can gain a competitive edge and position themselves at the forefront of quantum advancements. Real-world use cases of quantum computing and Potential game-changer: When it comes to tackling real-world business problems using quantum computing we need to consider several elements listed below: - How to map a business use case into a format that can be handled on quantum hardware. Constrained combinatorial optimization problems may be encoded in a constraint-free form. - Being aware of and selecting quantum algorithms compatible with NISQ hardware. - Developing programming skills for quantum devices. Both direct proficiency in a certain language and conceptual understanding of how to think when developing quantum algorithms. - Simulation/execution, and what you can learn from it, such as how quantum performance compares to classical performance and the potential for mid-term, non-trivial achievements. o Machine Learning and large datasets The concept should be of particular interest to anyone who works with data science at scale. Machine learning (ML) can be immensely valuable in analyzing massive amounts of data as handling the complexity of analyzing l ## Quantum Computing: Paving the Path to a Greener Automotive Industry and Beyond DevFeed: [Quantum Computing: Paving the Path to a Greener Automotive Industry and Beyond]() Original publisher: [Read original article]() Author: Bahram Ganjipour Published: 2024-01-23T14:23:50Z Content type: opinion Language: en Sources: [Volvo Cars Engineering - Medium]() Topics: [Quantum Computing]() Tags: [automotive](), [automotive-industry](), [battery](), [electric-vehicles](), [energy](), [funding](), [interest](), [quantum](), [quantum-computing](), [quantum-technologies](), [research](), [startups]() ### AI overview This second post in a series examines quantum computing's potential applications across industries, with particular attention to automotive use cases such as logistics, materials discovery, and improving batteries for electric vehicles. It also explains that quantum computers are specialized systems rather than universally faster conventional computers and notes growing interest and investment in the field. ### Source excerpt In the 2nd post of this series on the rise of quantum computing, I will explore the industry's landscape and offers an insightful overview of how quantum computing may revolutionize various industries, with a specific focus on its implications for the automotive industry. Quantum computing, as a field, is incredibly inspiring. Its potential to solve complex computational problems beyond the capabilities of classical computers fuels our hopes for energy-efficient solutions in various domains. This includes addressing logistics challenges, advancing material discovery, and significantly improving battery technology for electric vehicles. This inspirational view drew a lot of attention and investment to the field, and, as it is usual, the fertile ground provides a general opportunity for growth, both for the expected and the unexpected, paving the way for a greener, more sustainable future in the automotive industry and the broader realm of electric vehicles. Like many other technologies, quantum computing (QC) has a longer history than we might expect. The academic foundations of the field were established in the 1980s, similar to the internet, which took decades to achieve widespread adoption. In the next post of this series, I will go into more detail on QC and how it works. For those who are unfamiliar with quantum computers, there are a few things to keep in mind for the time being. Firstly, Quantum computers are not simply superior versions of regular computers; they are vastly different systems that excel in solving specific problems. Their superior performance can be linked to their ability to leverage the strange behaviors of quantum particles in their information-processing capabilities. This makes QC well-suited for tackling immensely complex mathematical calculations that traditional machines cannot efficiently manage. You are not alone if you've been hearing more about QC recently. The tech community, investors, and government research organizations have b [Next page]()