Quantum Cloud Services: AWS Braket, Azure Quantum & IBM Quantum
Quantum cloud computing news: QCaaS platforms, AWS Braket, Azure Quantum, IBM Quantum Experience. Cloud quantum access & hybrid computing.
Quantum computing cloud services democratize access to quantum hardware, enabling researchers, enterprises, and developers to experiment with quantum processors without multi-million-dollar infrastructure investments.
Major global platforms include IBM Quantum with 20+ systems (5-1,000+ qubits); Amazon Braket providing hardware-agnostic access to IonQ, Rigetti, OQC, and D-Wave systems; and Microsoft Azure Quantum offering diverse hardware including IonQ, Quantinuum, and Rigetti.
India's Quantum Cloud Infrastructure
India's National Quantum Mission plans indigenous quantum cloud infrastructure development. The Foundation for QC Innovation at IISc Bengaluru will provide access to quantum computing resources as hardware matures. Until indigenous platforms are operational, the Department of Science and Technology facilitates cloud access to international quantum computers for Indian researchers.
The Andhra Pradesh Quantum Valley Tech Park, developed in partnership with IBM and TCS, will provide cloud access to an IBM Quantum System Two with 156-qubit Heron processor—the largest quantum computer in India. TCS will support development of algorithms and applications for Indian industry and academia through this facility.
The NQM targets making quantum computing resources accessible to startups, MSMEs, and researchers, with the quantum fabrication facilities at IISc Bengaluru and IIT Bombay providing prototyping and testing access.
quantum-computingThinking About Selling Your Bitcoin? Nearly 50% of Holders Might Be Too.
By Alex Carchidi – Apr 10, 2026 at 1:30AM ESTKey PointsBitcoin is in the midst of a long downward trend.Many of its most ardent holders are sitting on losses.There's an opportunity here if you can stomach it. Bitcoin (BTC +1.61%) is down by 6% over the last 12 months and 43% from its all-time high of just above $126,000, set in October 2025. If you're thinking of selling it after such a prolonged and steep decline, you aren't alone. In fact, at its current price, about 47% of all Bitcoin in circulation is now held at a loss. That's a vast amount of pain for investors to be carrying, and the urge to cut losses is natural. But selling into the market's fear has historically been a losing strategy with this asset far more often than not. Here's what the data says about what you should do. Image source: Getty Images. Even some evangelists are cracking One important detail is that Bitcoin's long-term holders, which includes all kinds of wallets with balances unmoved for six months or more, are bearing the heaviest burden. Over 4.6 million of their coins, roughly 30% of their holdings, are now underwater, the largest share since 2023. Some are selling at their deepest losses in three years. So if you're suddenly feeling a lot less convinced about the investment thesis for Bitcoin, know that some of its most loyal and longtime boosters are now feeling the same doubt. Fresh anxiety arrived in the last week of March when Alphabet's Google Quantum AI published a new paper outlining a smattering of theoretical attack paths against the cryptography underpinning Bitcoin, including scenarios where quantum computers could crack its encryption significantly faster than previously estimated. The practical threat from such quantum computers still remains at least a handful of years away, but the news compounds the ongoing unease about the coin, stemming from geopolitical conflict and a very questionable macro environment. ExpandCRYPTO: BTCBitcoinToday's Change(1.61%) $1144.65Current
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quantum-computingUnleashing the Advantage of Quantum AI
As experimental capabilities advance rapidly, the quantum computing community faces a critical elephant in the room: What will these quantum machines eventually be useful for? Will they deliver the promised broad societal impact, or will they remain highly specialized devices for exotic tasks known only to the experts? The elephant in the room Despite decades of effort, conclusive evidence of large quantum advantage in real-world applications remains confined to a few niche domains, such as simulating quantum materials and cryptanalysis. These problems are either inherently quantum to begin with, or they possess specialized mathematical structure that quantum algorithms can easily exploit. But it seems unlikely that such structures appear broadly in everyday life. Indeed, most applications of modern computation hinge on the processing of massive, noisy classical data, generated at an unprecedented pace across society. That is the driving force behind the overwhelming success of machine learning and AI. Since the data originates from the macroscopic classical world, there is no obvious reason it should exhibit the delicate, specialized structures that quantum computers require. To playfully adapt Richard Feynman’s famous quote: We live in an effectively classical world, dammit, and maybe classical computers and AI already suffice for most of our problems. (For those unfamiliar, Feynman originally quipped: “Nature isn’t classical, dammit, and if you want to make a simulation of nature, you’d better make it quantum mechanical.”) The central challenge To truly unlock the power of a quantum computer, quantum algorithms typically need to access data in quantum superposition, processing many different samples simultaneously in different branches of the quantum multiverse. To use technical jargon, this is called querying a quantum oracle. But in reality, the classical data samples that we want to process are generated from everyday activities in a classical world, and we ca
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quantum-computingHorizon Quantum to Acquire IonQ 256-Qubit Trapped-Ion System for Multi-Modal Testbed
Horizon Quantum to Acquire IonQ 256-Qubit Trapped-Ion System for Multi-Modal Testbed Horizon Quantum Holdings Ltd. (Nasdaq: HQ) and IonQ (NYSE: IONQ) have announced a strategic agreement for the purchase of a 6th-generation, chip-based 256-qubit trapped-ion system. This acquisition is a core component of Horizon Quantum’s strategy to expand its hardware testbed beyond its existing superconducting systems. By integrating a second, technologically distinct modality, Horizon Quantum becomes one of the few commercial efforts globally to operate a multi-modal hardware environment. The 256-qubit system is designed with all-to-all connectivity and parallel operations, utilizing microwave gate operations to achieve a world-record 99.99% gate fidelity established by IonQ in 2025. The integration of the IonQ system into Horizon Quantum’s Triple Alpha software platform is intended to move beyond static circuit execution toward more expressive, adaptive quantum programming. The collaboration will focus on enhancing real-time runtime capabilities, including general control flow, dynamic memory allocation, and concurrent classical-quantum function evaluation. These technical features are designed to provide a hardware-agnostic environment where developers can write sophisticated programs at multiple levels of abstraction, facilitating a more direct path to achieving broad quantum advantage across industries such as drug discovery and financial modeling. The agreement, finalized on March 31, 2026, aligns with Horizon Quantum’s recent business combination with dMY Squared Technology Group and its subsequent listing on Nasdaq. While IonQ continues to scale its IonQ Tempo line for major cloud providers like AWS and NVIDIA, this direct acquisition allows Horizon Quantum to tightly couple its software infrastructure with frontier hardware. According to CEO Dr. Joe Fitzsimons, the addition of high-fidelity trapped-ion qubits to the testbed is a foundational step in bridging the gap betw
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quantum-computingTerra Quantum AG to Go Public in $3.25 billion SPAC Deal
Insider Brief Terra Quantum has signed a non-binding LOI to go public via a SPAC merger with Mountain Lake Acquisition Corp. II, valuing the company at $3.25 billion. The proposed transaction is intended to provide Terra Quantum with access to public capital markets to support product development, global expansion, and potential acquisitions. The deal reflects investor confidence in Terra Quantum’s quantum software, algorithms, and hybrid solutions, as well as its commercial traction across sectors including defense, finance, pharmaceuticals, and logistics. PRESS RELEASE — Terra Quantum AG (“Terra Quantum”), a leading quantum technology company, and Mountain Lake Acquisition Corp. II (“MLAC II”) (Nasdaq: MLAA), a special purpose acquisition company, today announced that they have signed a non-binding letter of intent (“LOI”) to enter into a business combination that values Terra Quantum at $3.25 billion. The proposed transaction reflects strong confidence in Terra Quantum’s differentiated quantum algorithms, software, quantum security, and hybrid quantum-classical solutions, as well as its commercial traction across multiple industries including defence, finance, pharmaceuticals, and logistics. Upon completion of the transaction, the combined entity will be publicly listed, providing Terra Quantum with enhanced access to capital markets to support its next phase of growth, including product development, global expansion, and strategic acquisitions. Strategic Rationale The contemplated business combination is expected to enable Terra Quantum to: Accelerate the commercialization of ready to deploy quantum technologies Strengthen its balance sheet to support scaling operations globally Expand partnerships with enterprise and government customers Enhance visibility in the quantum computing sector Management Commentary “This milestone marks a significant step forward in Terra Quantum’s mission to deliver practical quantum solutions on a global scale today,” said Markus P
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quantum-computingQuantum Fellowship in Applications of Quantum Computing
Quantum Fellowship in Applications of Quantum Computing Application deadline: Monday, May 4, 2026Employer web page: https://www.quantumsoftwarelab.comJob type: FellowshipPostDocTags: fellowshipChancellor's postdoctoral fellowshippostdocquantum computingQuantum Software LabQuantum Software Lab at the University of Edinburgh is hiring for five Tenure-Track Positions! Up to five positions are available for prestigious 5-year tenure-track fellowships hosted by the University of Edinburgh's School of Informatics, School of Chemistry, School of Physics and Astronomy, School of Mathematics, and EPCC. As part of the recently funded "Quantum Advantage TurboCHarger" a.k.a "QATCH" programme awarded to the Quantum Software Lab (QSL) at the University of Edinburgh https://informatics.ed.ac.uk/news/latest-news/funding-boost-to-turbochar... , the "Quantum Fellows" will lead interdisciplinary research in applications of quantum computing in one or several of the following QATCH application sectors. QATCH, is developed to support the National Quantum Computing Centre and the UK’s quantum community in achieving the goals of the National Quantum Technology Missions. https://www.gov.uk/government/publications/national-quantum-strategy/nat... Over the next four years, QATCH will deliver the UK’s first integrated software and verification infrastructure through a coordinated suite of tools. At its core, QATCH operates through a two-dimensional structure linking three research Pillars: (i) Quantum Advantage Engine; (ii) HPC & Fault-Tolerant Architecture; (iii) Performance Evaluation; with six application Sectors in healthcare, material science, cybersecurity, finance, energy, and AI. The Pillars develop methods, systems, and tools, while the Sectors provide data, challenges, and end-user validation. Together they form the QATCH workflow from theory to deployment, where research is verified on national testbeds and benchmarked against measurable sector metrics. The
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quantum-computingHorizon Quantum will acquire a 256-qubit trapped-ion system from IonQ
Horizon Quantum will acquire a 256-qubit trapped-ion system from IonQ, expanding its capacity to develop software infrastructure for quantum applications and pursue broad quantum advantage. The system, representing IonQ’s latest technology, is designed with “all-to-all connectivity” and boasts 99.99% gate fidelity, promising more accurate and flexible calculations for complex problems. This acquisition will position Horizon Quantum among a limited number of organizations operating commercial quantum systems of multiple modalities, allowing for a more versatile hardware-agnostic environment for quantum software development. “I could not be more delighted to be working with IonQ to bring trapped ion and world-leading gate fidelities to our testbed,” said Horizon Quantum Founder and CEO Dr. Joe Fitzsimons, emphasizing the importance of this resource in unlocking quantum advantage for developers. Horizon Quantum Acquires IonQ 256-Qubit Trapped-Ion System Horizon Quantum is expanding its quantum computing capabilities with the acquisition of a 256-qubit trapped-ion system from IonQ, a move intended to accelerate the development of practical quantum applications. The purchased system promises a substantial increase in computing capacity for researchers and developers tackling complex problems. This acquisition is about more than just adding qubits; the IonQ system boasts 99.99% gate fidelity, a critical metric for ensuring the accuracy and reliability of quantum calculations, and utilizes microwave gate operations to enhance performance. The system’s “all-to-all connectivity” and parallel operations are designed to allow for a wider range of calculations with increased flexibility, moving beyond the limitations of current quantum hardware. Horizon Quantum intends to integrate this trapped-ion technology alongside its existing superconducting system, establishing a rare capability to operate commercial systems with multiple modalities. This hardware-agnostic approach aims
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quantum-computingQuantum Computers Tackle Genome Assembly’s Toughest Puzzles
Scientists at the University of Cambridge and University of Oxford have developed a new approach to pangenome-guided sequence assembly, leveraging quantum optimisation techniques to address the computationally intensive challenges of genome reconstruction from sequencing data. Josh Cudby and colleagues tackle limitations inherent in repetitive genomic regions, where existing methods often falter due to reference bias and combinatorial complexity. Their research explores both quadratic unconstrained binary optimisation and a higher-order binary optimisation formulation, sharply reducing the number of required variables for complex calculations. By employing the Iterative-QAOA framework and a custom circuit compilation strategy, the team achieved promising results in simulations and on IBM quantum hardware, identifying optimal assemblies with a tiny fraction of candidate solutions. Pangenome assembly is established as a compelling application where quantum computing may offer a practical advantage soon. Quantum optimisation streamlines complex genome mapping Iterative-QAOA, a quantum algorithm akin to a guided search through many possibilities, proved central to overcoming computational hurdles in genome assembly. This algorithm belongs to a class of approximate optimisation algorithms designed to find near-optimal solutions to complex problems. Unlike classical algorithms that exhaustively search all possibilities, QAOA leverages quantum phenomena like superposition and entanglement to explore the solution space more efficiently. The Iterative-QAOA framework avoids painstakingly fine-tuning every parameter of the quantum process, instead employing a pre-defined schedule and iteratively refining its approach based on previous attempts. This iterative refinement is crucial for adapting to the specific characteristics of the genome assembly problem and improving solution quality over time. A custom circuit compilation strategy effectively streamlined the instructions se
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Cloudflare Accelerates Post-Quantum Roadmap to 2029 Amid Major Algorithmic Breakthroughs
Cloudflare Accelerates Post-Quantum Roadmap to 2029 Amid Major Algorithmic Breakthroughs Cloudflare has officially updated its post-quantum (PQ) security roadmap, shifting its target for full system-wide resilience to 2029. This acceleration is driven by recent and unexpected advancements in quantum factoring efficiency, which suggest that the window for migrating global internet infrastructure is closing faster than previously modeled. While the company enabled post-quantum encryption for all websites and APIs in 2022 to mitigate “harvest now, decrypt later” (HNDL) risks, the new roadmap prioritizes the much more complex challenge of post-quantum authentication. The urgency stems from two independent breakthroughs announced in late March and early April 2026. First, Google’s Quantum AI team published a whitepaper demonstrating a 20-fold reduction in the resources required to break ECDSA-256, the elliptic curve cryptography securing Bitcoin, Ethereum, and much of the public web. According to a recent Quantum Computing Report (QCR) Qnalysis, this development represents a “decryption threshold” that necessitates an immediate re-evaluation of the quantum threat to global blockchain infrastructure and decentralized finance. Verified via a zero-knowledge proof, Google’s optimized algorithm suggests that fewer than 500,000 physical qubits could be sufficient to crack these keys—a sharp decline from the 10 million qubits estimated just a few years ago. Parallel research from the Caltech-linked startup Oratomic has further compressed this timeline by focusing on neutral atom architectures. Oratomic’s research indicates that breaking RSA-2048 and P-256 could require as few as 10,000 reconfigurable atomic qubits. This efficiency is gained through a massive reduction in error-correction overhead; while superconducting systems typically require 1,000 physical qubits for a single logical qubit, neutral atom machines—which allow for dynamic, “high-rate” connectivity—may require o
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quantum-computingQuantum Fellowships in Applications of Quantum Computing
Quantum Fellowships in Applications of Quantum Computing Application deadline: Monday, May 4, 2026Research group: Research Center for Quantum Information Institute for Quantum Information ScienceQuantum TransportOxford Ion Trap Quantum Computing GroupQuantum Computation and Information Project, ERATO-SORST, JSTQuantum Technology at QueensQuantum Optics Theory at ICFOQuantum Theory groupQueensland Quantum Optics LabQuantum Optics Group at ICN, UNAM, MexicoEmployer web page: www.quantumsoftwarelab.com Job type: FellowshipTags: quantum computingquantumjobresearchQuantum Software Lab is hiring! Up to five positions are available for prestigious 5-year tenure-track fellowships hosted by the University of Edinburgh's School of Informatics, School of Chemistry, School of Physics and Astronomy, School of Mathematics, and EPCC. Fellows will lead interdisciplinary research in Applications of Quantum Computing in one or several of the following QATCH application sectors. The initial focus of the fellowships will be on establishing their research careers, including developing their distinctive research programme, including innovation and/or knowledge exchange activities, producing research outputs and research support applications, and engaging in career development. The Fellow will be expected to make a growing contribution to research-led teaching/training and academic leadership in their host School, particularly after the first few years, to develop the skills and experience required in a typical academic role. If you’re building the next generation of quantum solutions, we’d love to hear from you. Job Title: Quantum Fellowships in Applications of Quantum Computing Affiliation: Quantum Software Lab Website: www.quantumsoftwarelab.com Link to LinkedIn: TBC (will post tomorrow) Location: Edinburgh, United Kingdom 🔗 Learn more about the job and apply: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/C... Log in or register to pos
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quantum-computingRigetti Ships 108 Qubit Device.
Rigetti Computing has made its 108-qubit quantum computer, Cepheus-1-108Q, generally available to customers and partners through its Quantum Cloud Services platform and Amazon Braket. This new system represents the largest modular quantum computer to date, utilizing Rigetti’s chiplet-based architecture and tripling the qubit count of its previous generation. Cepheus-1-108Q currently achieves a 99.1% median two-qubit gate fidelity with a gate speed of approximately 60 nanoseconds, alongside a 99.9% median single-gate fidelity. “Cepheus-1-108Q is a milestone that validates our approach to scaling quantum computers,” said Dr. Subodh Kulkarni, Rigetti CEO, adding that the company’s architecture is enabling higher fidelity and higher qubit systems that will ultimately enable fault-tolerant quantum computing. Cepheus-1-108Q: 108-Qubit System & Modular Architecture Rigetti Computing’s unveiling of the Cepheus-1-108Q system marks a significant leap in quantum processor scale, boasting 108 qubits, the highest count currently available in a modular architecture. Unlike many approaches relying on monolithic silicon, Rigetti has constructed Cepheus-1-108Q from twelve interconnected 9-qubit chiplets, effectively tripling the qubit count and chiplet number from its prior 36-qubit system. This modular design is not simply about increasing qubit numbers; it’s a deliberate strategy to address the escalating challenges of maintaining fidelity as systems grow more complex. Rigetti is also releasing the hardware, making Cepheus-1-108Q accessible to researchers and developers through both the Rigetti Quantum Cloud Services platform and Amazon Braket, broadening access to this advanced quantum computing capability. Subodh Kulkarni, Rigetti CEO, emphasized the importance of this architectural validation. Several key engineering improvements underpin the system’s performance. Rigetti has focused on enhanced qubit and coupler design to accelerate two-qubit gates and improve fidelity, wh
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quantum-computing5 New Risks to Ethereum Just Surfaced. Is The Coin Still a Buy?
By Alex Carchidi – Apr 8, 2026 at 3:23AM ESTKey PointsNew research indicates that quantum computers might be able to crack the encryption protecting most cryptocurrencies sooner than anticipated.Ethereum was singled out as being especially vulnerable.However, there's already a plan in progress to mitigate these risks. According to a new paper released by Alphabet's Google Quantum AI group on March 30, there are five distinct ways that a future quantum computer could attack Ethereum (ETH +6.18%) by breaking its encryption. That certainly sounds alarming. If everything the new research says is true, would the coin still be a buy? Image source: Getty Images. The five risks the paper actually found Ethereum is, at its heart, a collection of software. That software is secured by encryption. The point of the encryption is to make it very difficult for an attacker to perform actions like stealing or spending someone else's coins. And in terms of the risk posed by potential attackers equipped with normal computers, the encryption is successful at that goal. The trouble is that quantum computers are, in theory, capable of breaking the encryption that Ethereum and most other blockchains use. In practice, no known quantum computers that actually exist are powerful enough to do that. But quantum computers are becoming more sophisticated all the time, and, per the research by Google Quantum AI, it's also possible to design the quantum circuits they use to be vastly more efficient at codebreaking. The research was co-authored with Ethereum Foundation researcher Justin Drake and Stanford cryptographer Dan Boneh. In short, their paper is essentially a coordinated disclosure between the people building the quantum computers and the people running the blockchain, which is why their words carry a lot of weight. The core finding is that with their newly discovered quantum circuits, breaking the cryptography securing Ethereum would require fewer than 500,000 physical qubits, which is in
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quantum-computingRigetti Releases 108-Qubit Cepheus-1-108Q System via Cloud Platforms
Rigetti Releases 108-Qubit Cepheus-1-108Q System via Cloud Platforms Rigetti Computing has announced the general availability of its Cepheus-1-108Q quantum computing system. The 108-qubit processor is accessible via the Rigetti Quantum Cloud Services (QCS) platform and Amazon Braket. This system represents a scaling of the company’s modular architecture, increasing the qubit count from its previous 36-qubit iteration. The deployment on Amazon Braket marks the first gate-based quantum device with over 100 qubits to be hosted on the AWS service. The architecture of the Cepheus-1-108Q consists of twelve interconnected 9-qubit chiplets. This modular approach allows for the tiling of multiple small-scale chips to form a larger processor, a method Rigetti uses to manage yield and complexity during fabrication. At launch, the system is reporting a 99.1% median two-qubit gate fidelity and a 99.9% median single-qubit fidelity. The system maintains gate speeds of approximately 60 nanoseconds, consistent with the characteristics of superconducting transmon qubits. Technical improvements in this generation include the use of Alternating-Bias Assisted Annealing, a fabrication technique designed to improve qubit frequency targeting and reduce defects on the chip. Rigetti also implemented upgraded control electronics intended to provide a higher signal-to-noise ratio for qubit readout. To mitigate coupling interactions that often emerge in systems exceeding 100 qubits, the company refined its tunable coupler designs, shifting the primary performance constraints toward coherence times. For quantum error correction (QEC) research, the system utilizes adiabatic CZ gates. Rigetti’s internal benchmarks on prototype systems have demonstrated CZ gate fidelities as high as 99.9% at 28 nanoseconds, and these gate schemes are currently being integrated into the 108-qubit production environment. The availability of these high-fidelity native gates is intended to allow researchers to compile
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quantum-computingMoth Expands Into The US With Senior Hires From Amazon And IBM to Accelerate Growth
Insider Brief UK-based quantum company Moth is expanding into the U.S. with two senior hires and a new office aimed at accelerating North American growth. The company appointed Sebastian Hassinger (business development) and Stewart Smith (product), both bringing experience from major technology firms including Amazon and IBM. Moth is positioning itself around real-world, accessible quantum applications, with projects in media and entertainment signaling a shift from lab-based research to consumer-facing use cases. PRESS RELEASE — UK-based quantum technology company Moth has announced two senior hires as it expands its operations in the United States, marking a significant step in its mission to make quantum computing accessible to businesses and consumers. The company has appointed Sebastian Hassinger as Head of Business Development and Stewart Smith as Head of Product. Both will be based at Moth’s new US office at New Lab, which will serve as a strategic hub for growth across North America. The hires strengthen the company’s credibility in the global market, as both bring experience from leading technology organisations Amazon and IBM. The appointments bolster an already strong and diverse team, reinforcing Moth’s position as one of the most innovative and forward-thinking companies in the UK technology sector. Moth is pioneering a new approach to quantum computing-moving it beyond theory and the lab into real-world applications. Over the past 18 months, the company has demonstrated working quantum-powered software through projects such as Recurse and its Space Moths computer game, signalling a major shift in how quantum technology can be used in media, entertainment and creative industries. Sebastian Hassinger brings experience from the forefront of emerging technologies. His career spans the early commercialisation of the internet through to quantum computing, with senior roles at IBM Quantum and Amazon’s quantum techn
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quantum-computingPhD Scholarship: Quantum algorithms for exact exponential-time combinatorial optimisation | University of Technology Sydney
PhD Scholarship: Quantum algorithms for exact exponential-time combinatorial optimisation | University of Technology Sydney Application deadline: Tuesday, May 12, 2026Employer web page: Sydney Quantum Academy Job type: PhDTransform your research into real-world impact with a PhD program co-designed with leading quantum experts and industry partners - open to domestic and international students. This project investigates exact quantum algorithms for NP-hard combinatorial optimisation problems, with the goal of improving the worst-case exponential running time. A representative target is Maximum Independent Set: given a graph G n vertices, find the largest set of vertices with no edges between them. The best published classical algorithm for Maximum Independent Set runs in time 1.1996^n (up to polynomial factors), while the best published quantum algorithm achieves expected running time proportional to 1.1488^n, which is an improvement in the base of the exponential base but still far from the kind of square-root quantum speedups seen in unstructured search. A major open direction is whether one can obtain a super-quadratic quantum speedup for exact, worst-case Maximum Independent Set, or for closely related problems such as Minimum Vertex Cover. The project will explore new quantum algorithmic ideas and analyses–e.g., quantum-accelerated branching/backtracking and or quantum divide and conquer–to push the best known worst-case bounds. Project Supervisor: Associate Professor Troy Lee, Centre for Quantum Software and Information, University of Technology Sydney Industry placement with Defence Science and Technology Group (DSTG) This project would suit: Students with a strong background in mathematics and/or theoretical computer science, prior quantum computing knowledge is welcome but not required. The research will be conducted in collaboration with the Australia Defence Science and Technology Group. Due to project requirements, the position is open onl
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quantum-computingCharacterizing and Benchmarking Dynamic Quantum Circuits
--> Quantum Physics arXiv:2604.03360 (quant-ph) [Submitted on 3 Apr 2026] Title:Characterizing and Benchmarking Dynamic Quantum Circuits Authors:Sumeet Shirgure, Efekan Kökcü, Anupam Mitra, Wibe Albert de Jong, Costin Iancu, Siyuan Niu View a PDF of the paper titled Characterizing and Benchmarking Dynamic Quantum Circuits, by Sumeet Shirgure and 5 other authors View PDF HTML (experimental) Abstract:Dynamic quantum circuits with mid-circuit measurements (MCMs) and feed-forward operations play a crucial role in various applications, such as quantum error correction and quantum algorithms. With advancements in quantum hardware enabling the implementation of MCM and feed-forward loops, the use of dynamic circuits has become increasingly prevalent. There is a significant need for a benchmarking framework specially designed for dynamic circuits to capture their unique properties, as current benchmarking tools are designed primarily for unitary circuits and cannot be trivially extended to dynamic circuits. We propose dynamarq, a scalable and hardware-agnostic benchmarking framework for dynamic circuits. We collect a set of dynamic circuit benchmarks spanning various applications and propose a broad set of circuit features to characterize the structure of these dynamic circuits. We run them on two IBM quantum processors and the Quantinuum Helios-1E emulator, and propose scalable, application-dependent fidelity scores for each benchmark based on hardware execution results. We perform statistical modeling to identify correlations between circuit features and fidelity scores, and demonstrate highly accurate fidelity prediction using our model. Our model parameters are also transferable across hardware backends and calibration cycles. Our framework facilitates the understanding of dynamic circuit structures and provides insights for designing and optimizing dynamic circuits to achieve high execution fidelity on quantum hardware. Subjects: Quantum Physics (quant-ph); Software En
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quantum-computingRFOX (Rotated-Field Oscillatory eXchange) quantum algorithm: Towards Parameter-Free Quantum Optimizers
--> Quantum Physics arXiv:2604.02569 (quant-ph) [Submitted on 2 Apr 2026] Title:RFOX (Rotated-Field Oscillatory eXchange) quantum algorithm: Towards Parameter-Free Quantum Optimizers Authors:Brian García Sarmina, Guo-Hua Sun, Shi-Hai Dong View a PDF of the paper titled RFOX (Rotated-Field Oscillatory eXchange) quantum algorithm: Towards Parameter-Free Quantum Optimizers, by Brian Garc\'ia Sarmina and 2 other authors View PDF HTML (experimental) Abstract:We introduce RFOX (Rotated-Field Oscillatory eXchange), a parameter-free quantum algorithm for combinatorial optimization. RFOX combines an almost constant non-stoquastic $XX$ catalyst with a weak harmonic $ZX$ counter-diabatic term. Using the Floquet-Magnus expansion, we derive a closed-form effective Hamiltonian whose first-order term retains the full $XX$ driver, while the leading correction consists of a single qubit $Y$ field at high drive frequency. This structure ensures that the instantaneous spectral gap remains essentially flat, independent of both the interpolation parameter and the disorder strength, modulated only by a $\delta$ parameter. This behavior stands in stark contrast to the unpredictable gap reductions, or even collapses, exhibited by the $X$ (stoquastic), $XX$, and $X+sXX$ (non-stoquastic) driver schedules. Extensive noiseless simulations on random-field Ising model (RFIM) instances with 7, 9, and 12 qubits, across three magnetic-field ranges, validate these spectral predictions: RFOX attains near-optimal, and in some cases exact, ground states using up to an order of magnitude fewer Trotter slices. Its performance advantage grows with increasing disorder, as conventional methods slow down near vanishing gaps, whereas RFOX maintains a constant runtime scaling of $T \propto \Delta_{\min}^{-2}$. Hardware experiments on IBM Quantum processors (Eagle r3 and Heron r1, with 12, 15, and 20 physical qubits) reproduce similar performance rankings. These results suggest that fixed-gap, non-stoquastic dr
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quantum-computingRigetti Sells Novera QPU to University of Saskatchewan for Canada’s First Open-Architecture System
Rigetti Sells Novera QPU to University of Saskatchewan for Canada’s First Open-Architecture System Rigetti Computing (Nasdaq: RGTI) has officially expanded its on-premises footprint with the sale of a 9-qubit Novera™ QPU to the University of Saskatchewan (USask). This acquisition marks a historic milestone as USask becomes home to the first university-owned and operated, vendor-supported, full-stack, open-architecture quantum computer in Canada. The system is housed within USask’s Centre for Quantum Topology and its Applications (quanTA), under the leadership of Dr. Steven Rayan, positioning the institution as a central hub for quantum innovation within the newly defined “Quantum Corridor” linking Saskatchewan and Alberta. The system’s architecture serves as a flagship demonstration of the Novera QPU Partner Program, an ecosystem designed for modularity and interoperability. The core 9-qubit Rigetti processor is integrated with a Zero Point Cryogenics dilution refrigerator (an Edmonton-based partner), Qblox control hardware, and QuantrolOx software for automated qubit characterization and tuning. While the system currently features 14 total superconducting qubits across two chips, its “full-stack” nature allows researchers to bypass the limitations of remote cloud access, providing the hands-on environment necessary for low-level hardware optimization and architectural research. This initiative is backed by a combined investment of $2.33 million CAD ($1.7 million USD), including $1.93 million CAD ($1.4 million USD) from Prairies Economic Development Canada (PrairiesCan) and $400,000 CAD ($287K USD) from Innovation Saskatchewan. The funding reflects a strategic push to diversify the Prairie economy by fostering a deep-tech ecosystem that utilizes quantum acceleration for regional strengths. By establishing on-premises hardware, USask effectively transitions from a consumer of quantum cloud services to a primary developer of quantum technologies, a move Dr. Rayan comp
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quantum-computingI'm 16 and just published my first Python library - QuantX
I have been learning quantum computing using Qiskit (Bell states, Grover's, Deutsch-Jozsa, teleportation) and one thing that kept bugging me is how hard it is for a regular Python developer to use any of this. To do any useful work, you need to get a grip on gates, circuits, qubits, and measurement. That’s why I decided to build QuantX a library that wraps quantum algorithms behind a simple API. Currently, it includes a search tool that operates on Grover's algorithm. You simply write instead of manually making circuits. from quantx import search result = search(["alice", "bob", "charlie", "diana"], target="charlie") Without gates, qubits or circuit diagrams. It internally handles qubit count as well as optimal iterations and padding At this stage, it is rather very early (just the search module), but I intend to add optimisation (QAOA), quantum ML, and cryptography modules. It makes use of Qiskit software to provide simulator and real IBM hardware backends. GitHub: https://github.com/aaravchour/quantx pip install quantxlib I would be grateful for any input – particularly concerning the design of the API and ideas for what module you would like to see next. Since this is my first open source project, please be gentle with me. Thanks! yes I did use claude code, don't make fun of me for adapting submitted by /u/RevolutionaryLow624 [link] [comments]
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quantum-computingIs There a Silver Lining Behind The Looming Dark Clouds of Quantum’s Crypto-busting Powers?
Insider Brief The alarm over Google Quantum AI’s latest findings has centered on risk, but the same advance is sharpening the case that useful quantum applications may arrive sooner than expected. A recent white paper written by a Google-led research team outlined how a sufficiently large quantum system — on the order of hundreds of […]
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quantum-computingSeeking contributors for QuantumEnergyOS: hybrid quantum OS for real energy grid optimization (Rust + Qiskit + QAOA)
Hi everyone! I'm Giovanny from Mexicali, Mexico —built QuantumEnergyOS-V.02, an open-source hybrid quantum OS aimed at optimizing electrical grids (starting with Baja California's network). Key bits: Kernel in Rust QAOA for load balancing & blackout prevention Simulated photonic bridge (Qiskit + Aer/FakeHeron) React dashboard + Tauri app MIT license, fully public: https://github.com/GioCorpus/QuantumEnergyOS-V.02 It's simulated now, but ready for real hardware (IBM Heron, Xanadu...). I am looking for collaborators: Rust devs (kernel tweaks) Quantum folks (QAOA improvements, error mitigation) Anyone into energy applications or photonic sim (Strawberry Fields?) Docs, tests, good-first-issues submitted by /u/DramaPsychological18 [link] [comments]
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