In tests involving Gaussian boson sampling, classical computers using the algorithm matched or exceeded the performance of some current quantum devices.
PRESS RELEASE — Researchers have developed an algorithm that enables off-the-shelf computers to run quantum simulations previously only possible using the world’s most powerful supercomputers.
Key to informing the creation of bigger, more reliable quantum computers is the development of algorithms to simulate how devices might work in reality.
The work could aid the development of light-based quantum devices, one of several branches of current quantum research by academics and industry, the team says.
This could allow scientists to simulate photonic quantum computers in unprecedented detail, the team says.
Oct 19, 2026 · via thequantuminsider.com
But a future quantum computer could theoretically exploit a small gap in NEAR Intents, a cross-chain swapping service, to connect a user’s private ZEC transactions to their wallet, undermining that privacy.
In a new engineering post, it proposed giving every ZEC swap made through NEAR Intents its own private key.
The change would close a gap that a future quantum computer could use to piece together a user’s payment history.
When someone swaps private ZEC for USDC through it, the service posts one of their private Zcash addresses on NEAR’s public chain, so it knows where to send back any unused ZEC.
As such, no quantum computer has been demonstrated that can recover these keys.
Oct 19, 2026 · via coindesk.com
These problems are believed to resist quantum attacks because no known quantum algorithm solves them efficiently, even in principle.
On the theoretical side, the authors provide reduction proofs that demonstrate EUF-CMA security against quantum attackers.
SPHINCS+ is a stateless hash-based signature scheme standardized by NIST, prized for its conservative security assumptions but criticized for slow signing and large signatures.
Subject of Research: FSDS-OTS+: formal security proofs, reduction robustness, and quantum-adaptive improvements in the random oracle model Article Title: FSDS-OTS+: formal security proofs, reduction robustness, and quantum-adaptive improvements in the random oracle model Article References: Nauman, U., Hongyue, L., & Deng, M. (2026).
FSDS-OTS+: formal security proofs, reduction robustness, and quantum-adaptive improvements in the random oracle model.
Oct 18, 2026 · via bioengineer.org
Over the past two years, Saudi Aramco, bp, and Eni have moved quantum computing out of the research lab and into active seismic exploration workflows.
The signal is clear: quantum seismic processing has crossed from promising experiment to operational tool.
Energy majors adopt quantum seismic processing in exploration operations Saudi Aramco, bp, and Eni didn’t just run pilots and walk away.
Classical computing limits in seismic imaging drive the shift to quantum systems The push toward new approaches isn’t coming from novelty.
What this means for upstream digitalization—and what comes next Quantum seismic processing doesn’t exist in isolation.
Oct 18, 2026 · via energiesmedia.com
The 60-page audit found widespread failures to identify vulnerable cryptographic systems, develop reliable funding estimates, and test replacement technologies.
The results showed that only one agency had fully developed a prioritized inventory of vulnerable cryptographic systems.
The shortcomings extended to the information agencies maintained about their own technology.
Without this information, agencies cannot reliably identify which technologies must be upgraded, which require replacement, or how to prioritize systems containing sensitive information.
It directs agencies to prioritize high-impact systems, high-value assets, sensitive information, and cryptographic access controls.
Oct 17, 2026 · via biometricupdate.com
Quantum computers, by contrast, use "qubits".
However, current quantum computers have major flaws.
But quantum computers are superpositions of all possible outcomes, so they must include all operations for both Route A and Route B in every single run.
An automatic evaluation program checked the correctness of the design and gave it a "score" (number of qubits used × number of quantum gates).
But quantum computers cannot discard drafts!
Oct 17, 2026 · via eu.36kr.com
Quantum execution platform Open Quantum (developed by Quantum Rings in partnership with qBitTensor Labs) has released a native software integration for Qrisp, an open-source, high-level quantum programming language maintained under the Eclipse Foundation in collaboration with Fraunhofer FOKUS.
Available via Python package managers (pip install "openquantum-sdk[qrisp]"), the plugin allows developers to compile and execute high-level Qrisp programs directly on physical quantum processing units (QPUs) from IonQ, Rigetti Computing, IQM Quantum Computers, and AQT without writing vendor-specific gate-level code or altering algorithm logic.
The Open Quantum Qrisp plugin interfaces directly with native execution routines (QuantumVariable.get_measurement and QuantumCircuit.run), providing single-string backend switching across both trapped-ion and superconducting architectures.
It also complements Qrisp’s recognition at the Quantum Effects Awards 2026, as well as IQM’s contributions to open-source QAOA libraries and Resonance cloud QPU infrastructure.
Review the launch announcement on LinkedIn here, inspect the integration portal on Open Quantum here, explore the source code on GitHub here, and review technical SDK documentation on Open Quantum Docs here.
Oct 17, 2026 · via quantumcomputingreport.com
The European Quantum Industry Consortium (QuIC) has published a position paper titled “Optimising Dual-Use Controls for European Quantum Technologies,” addressing the European Commission’s open consultation on the evaluation of the EU Dual-Use Regulation (Regulation (EU) 2021/821).
Following the November 2025 integration of quantum computers, cryogenic amplifiers, and wafer probers into Annex I of the EU dual-use control list, QuIC warns that fragmented national implementation across the 27 EU Member States is imposing severe administrative friction, delayed shipments, and lost international revenue for European startups and scale-ups.
Coordinated by lead authors David Morcuende (QuIC) and Ulrich Mans (QuantWare)—with contributions from industry leaders including Pasqal, planqc, IQM, Qblox, Bluefors, Qilimanjaro, and Indra—the paper emphasizes that export controls must align with the upcoming EU Quantum Act to ensure European commercial competitiveness without introducing uncoordinated trade barriers.
Review the full position paper on the QuIC Portal here and download the complete policy document from QuIC Publications here.
October 17, 2026
Oct 17, 2026 · via quantumcomputingreport.com
The scoring metric was the number of qubits occupied multiplied by the number of quantum gates.
On classical computers, this operation is typically performed using the divsteps algorithm, but that algorithm has never been successfully ported to quantum circuits.
Rebuilding Google's algorithm architecture The second major breakthrough came in the quantum optimization algorithm DQI (Decoded Quantum Interferometry).
After analysis, Claude determined that this algorithm was mismatched with the operating model of quantum circuits and decisively replaced the core engine with the Berlekamp-Massey algorithm.
The significance of this discovery extends beyond mere algorithm optimization.
Oct 17, 2026 · via finance.biggo.com
Insider Brief Anthropic and Harvard researchers used Claude to design more efficient quantum circuits across eight tasks, reducing estimated computing resources for key routines used in quantum algorithms.
Reducing the Cost of Quantum Computation A quantum circuit is a sequence of operations applied to qubits, the units that store quantum information.
But translating an efficient conventional algorithm into a quantum circuit introduces constraints that can consume much of the original advantage.
It is a central operation in elliptic-curve calculations used in quantum algorithms relevant to cryptography.
General quantum circuits can be much harder to simulate, limiting how broadly the same process can be applied.
Oct 17, 2026 · via thequantuminsider.com
For a long time, 2030 was the year that most quantum computing firms pointed to as the arrival date of commercially viable quantum computing.
IonQ is my top quantum computing investment, and it looks primed to be an incredible performer over the next five years.
IonQ is casting a wide net IonQ is tackling all sectors of quantum computing.
IONQ - IonQ $31.28-$3.07 (-8.94%) NYSE · As of 4:00 PM ET 10/16/26 Premium Feature Key data points Market capMarket cap calculated using publicly traded shares outstanding only.
That's the reality when you're investing in an aspiring company like IonQ that's working to be all things quantum computing.
Oct 17, 2026 · via fool.com
MarketBeat Week in Review – 10/12 - 10/16 IonQ, D-Wave Quantum, Quantinuum, Quantum Computing, and Horizon Quantum Computing Pte.
Quantum computing stocks are shares of publicly traded companies that develop quantum computers, related hardware and software, or provide services supporting the quantum-computing industry.
These companies had the highest dollar trading volume of any Quantum Computing stocks within the last several days.
IonQ (IONQ) IonQ, Inc. engages in the development of general-purpose quantum computing systems in the United States.
Read Our Latest Research Report on QNT Quantum Computing (QUBT) Quantum Computing Inc., an integrated photonics company, offers accessible and affordable quantum machines.
Oct 17, 2026 · via marketbeat.com
Anthropic’s Claude Mythos 5 has developed a quantum circuit design that uses 17 times fewer gates than an earlier approach.
The findings suggest automated circuit design could accelerate progress toward practical quantum computing.
Rethinking quantum circuit design Quantum computers process information through qubits, which can represent combinations of states through superposition.
Engineers must therefore make quantum circuits as efficient as possible.
Classical computers can efficiently execute this method, but translating it into quantum circuits creates a major storage problem.
Oct 16, 2026 · via interestingengineering.com
Such improvements substantially reduce the quantum resources that useful applications require, so practical quantum computers could arrive sooner than previously anticipated.
(Similar to ordinary computers, quantum computers work by applying a long sequence of simple operations, called gates, to their qubits.
At one extreme, a quantum circuit can uncompute intermediate results as soon as they have been used.
This is what makes quantum circuit design an especially interesting test of Claude’s capabilities.
So, we asked Claude to design a more efficient quantum circuit for the decoding step.
Oct 16, 2026 · via anthropic.com
Google has verified a technology called "magic state cultivation" on its Willow processor, which has drastically reduced the quantum error rate.
It is understood that in quantum computing, photons (or light particles) are used as qubits.
However, qubits are prone to frequent errors, so quantum computers still have limitations at present.
"Magic states" are the key element to realize universal quantum computing.
Moreover, generating magic states with a sufficiently low error rate has long been a major challenge in building practical large-scale systems.
Oct 16, 2026 · via eu.36kr.com
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Oct 16, 2026 · via ionq.com
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Oct 16, 2026 · via privateequityinternational.com
But the quantum states behind their incredible computing power are also exceptionally fragile, and keeping errors under control is a monumental task.
To address this problem, physicists invented something called "magic states" – quantum states prepared in advance that allow computers to perform difficult quantum operations without compromising their error correction.
In 2024, Google researchers started working on an idea called magic state cultivation.
The idea isn't necessarily to produce a better magic state than conventional methods can, but to produce one of comparable quality using fewer resources.
Using magic state cultivation, the researchers reduced errors in the preparation process by a factor of around 40, producing magic states with a fidelity of at least 99.99 percent.
Oct 16, 2026 · via sciencealert.com
MIT’s new qubit architecture is enabling faster, more accurate quantum computing operations.
Researchers at MIT have developed a superconducting qubit architecture designed to address one of the key engineering challenges facing scalable quantum computing: achieving both long coherence times and rapid, reliable interactions with the rest of a quantum system.
A dedicated data mode stores quantum information, while an arm mode provides the strong interactions needed to communicate with other qubits and electronic components.
Nonlinear coupling is important because it enables changes in one quantum component to influence another, forming a basis for many quantum operations.
Simulation results showed the arm qubit outperforming other superconducting qubit architectures, combining long coherence with faster operations and readout.
Oct 16, 2026 · via engineerlive.com
Google researchers reduced errors in a crucial quantum computing resource about 40-fold, demonstrating a method that could lower the hardware demands of useful, error-corrected machines.
Ultimately, then, this looks to be an important, incremental advance toward practical quantum computing that demonstrates a way to prepare essential quantum states with fewer errors and potentially lower hardware demands.
Why Magic States Matter Quantum computers process information using qubits, which are vulnerable to disturbances that can corrupt a calculation.
The technique, called logical state tomography, estimates a quantum state by combining measurements taken in different ways.
The observed logical error rate was about seven times higher than predicted by simulations, according to the supplement.
Oct 16, 2026 · via thequantuminsider.com