Quantum AI Report

The convergence of Quantum with AI

Quantum Annealing

Specialised hardware that finds low-energy states of an optimisation problem rather than running arbitrary circuits. Commercially available at scale, with an ongoing debate about where it beats classical methods.

8 stories

arXiv quant-ph

Temporal information processing on a 4,500-qubit quantum annealer

A preprint on arXiv reports a quantum machine-learning model for temporal information processing, implemented on a 4,500-qubit quantum annealer. The authors position the work against two constraints: quantum models must be large and expressive enough to be useful while remaining cheap to read out, and most existing approaches are limited by costly optimization of many quantum parameters. The abstract does not detail the model architecture or benchmark outcomes.

OutlookPlausible

This could make annealer-based reservoir computing a practical near-term testbed for temporal machine-learning tasks on existing quantum hardware.

annealingalgorithms softwareD-Wave Systems
Quantum Zeitgeist

D-Wave wins up to $100M from US to build quantum systems

D-Wave has been awarded up to $100 million through the U.S. CHIPS Act to expand its quantum computing hardware efforts. The funding supports its dual-platform strategy, covering both quantum annealing and gate-model systems.

OutlookPlausible

D-Wave could use the federal funding to bring a gate-model processor to its Leap cloud service within two years, giving existing annealing customers an on-ramp to circuit-model workloads.

annealingsuperconductingD-Wave Systems
Quantum Computing Report

NEC Discontinues Superconducting Quantum Computer Development to Focus on Annealing and Classical Emulation

NEC Corporation has ended its research and development of superconducting quantum computers. The company will shift toward quantum-inspired annealing and classical emulation, concentrating on software and optimization services. Fujitsu remains the main Japanese corporate developer of superconducting quantum hardware.

OutlookPlausible

NEC could package its annealing and classical emulation capabilities into commercial optimization services for Japanese enterprises within the next two years.

annealingalgorithms softwaresuperconductingFujitsuNEC
arXiv quant-ph

Numerical simulation of D-Wave's quantum advantage experiment with time-dependent variational Monte Carlo

A new arXiv preprint applies time-dependent variational Monte Carlo to simulate the D-Wave quantum advantage experiment reported by King et al. The abstract notes that King et al. had argued classical simulation would require exponential resources for tensor networks and neural quantum states, and frames this work as a test of that claim. The available abstract ends before revealing the simulation's outcome.

OutlookPlausible

If the t-VMC results hold up, this method could become a standard classical benchmark for future quantum annealing advantage claims, allowing rapid independent checks before such claims are widely accepted.

annealingalgorithms softwareD-Wave Systems
arXiv quant-ph

Minimum Bisection Problem: Machine Learning-Based Penalty Parameter Tuning for Optimization on Quantum Annealers

An arXiv preprint proposes a machine learning-based method for tuning penalty parameters when solving the Minimum Bisection Problem on quantum annealers. The approach targets the QUBO formulation of constrained optimization, aiming to automate penalty weight selection rather than relying on manual tuning. The paper evaluates the method on quantum annealing instances.

OutlookPlausible

Learned penalty-tuning models could be integrated into quantum annealing software toolchains within two years, automatically setting penalty weights for new constrained optimization problems.

annealingalgorithms software
The Quantum Insider

D-Wave Awarded National Research Council of Canada Funding to Advance Commercial Annealing Quantum Computing

D-Wave has been awarded funding by the National Research Council of Canada to advance its commercial quantum annealing technology. The funding is intended to support development of annealing quantum computing for commercial applications.

OutlookPlausible

This funding could enable D-Wave to expand pilot deployments of its Advantage2 annealers with Canadian logistics and manufacturing firms, making quantum annealing a tested option for real-world scheduling and optimization within two years.

annealingalgorithms softwareD-Wave SystemsNational Research Council of Canada
Quantum Zeitgeist

Canada funds D-Wave to boost quantum computing software tools

Canada has awarded funding to D-Wave Systems to advance its quantum computing software tools. The funding is expected to support the company's software stack for programming and hybrid quantum-classical workloads.

OutlookPlausible

Within the next two years, this could help D-Wave extend its Ocean SDK and Leap hybrid solvers enough that logistics and manufacturing firms begin running recurring optimization workloads on quantum annealing, rather than one-off experiments.

algorithms softwareannealingD-Wave SystemsGovernment of Canada
HPCwire

D-Wave Details Dual-Rail Quantum Computing Advance in Nature Paper

D-Wave published a paper in Nature detailing an advance in dual-rail quantum computing. The technique encodes a logical qubit in two physical superconducting qubits to reduce errors and extend coherence times.

OutlookPlausible

D-Wave could integrate dual-rail encoded qubits into its next-generation quantum processors within two years, potentially offering gate-model operations with lower error rates.

superconductingannealingerror correctionD-Wave Systems