Quantum Solutions
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Related Articles from SNS
Quantum Mechanical Studies of Photodissociation Dynamics on Quantum Computers
Announce Type: cross Abstract: Theoretical quantum dynamics calculations scale deeply with system size, rendering classical calculations intractable for complex systems. While quantum computing offers a natural solution, its application to nuclear quantum dynamics remains scarce. Here, we present a quantum algorithm to study photodissociation dynamics on quantum computers, benchmarked on the NOCl molecule.
Nonlocal Teams and Information Structures
Announce Type: cross Abstract: We look at Bell inequalities from the lens of information structures in stochastic teams. We consider the usual CHSH game and a dynamic variant of the same to study how various classes of strategies, classical, projective and quantum, behave under team theoretic solution concepts. We find that projective strategies (where each player performs projective measurements) enjoy important properties in the usual CHSH game, but they do not carry over to its dynamic...
Numerical solution of the nonlinear Dirac equation by a splitting variational quantum algorithm
Announce Type: cross Abstract: In this work, we propose an operator-splitting variational quantum algorithm, termed Dirac-sVQA, for simulating the nonlinear Dirac equation (NLDE). The main difficulty arises from the state-dependent nonlinear interaction, its time-discrete update depends explicitly on the intermediate spinor state and, in general, cannot be implemented as a fixed state-independent unitary circuit. To address this difficulty, we decompose the NLDE evolution into a structured...
Parahydrogen Cooling of Nuclear Spin Chains at Hypogeomagnetic Fields
Announce Type: cross Abstract: Solution-state molecular nuclear spin networks are promising quantum simulators because their scalar-coupling Hamiltonians are chemically programmable, precisely measurable, and coherent at room temperature. Their main limitation for quantum information science is initialization: thermal Boltzmann polarization produces highly mixed, high-entropy states. Here, we use parahydrogen-based Signal Amplification by Reversible Exchange (SABRE) at hypogeomagnetic fields...
FPGA Based Feedforward System for Photonic Quantum Computing Applications
Announce Type: cross Abstract: Field-programmable gate arrays provide a high-performance solution for real-time signal processing in emerging quantum and photonic technologies. We present an FPGA-based fast feedforward system, that incorporates a high quantum efficiency fully fibre based homodyne detector, to enable low-latency signal processing critical for continuous variables (CV) measurement-based quantum information processing (MB-QIP) protocols. CV MB-QIP typically relies on adaptive...
An Adaptive Log-Laguerre Spectral Method for the Radial Dirac Equation: Resolving Asymptotic Decay and Core Singularities in Atomic Calculations
arXiv:2604.11063v2 Announce Type: replace Abstract: The high-precision solution of the radial Dirac equation is fundamental to relativistic quantum chemistry, essential for reliable pseudopotential generation and all-electron electronic structure methods. Capturing both the non-polynomial singularities at the origin and the state-dependent asymptotic decay on semi-infinite domains presents a significant computational challenge. In this work, we propose the Adaptive Log-Laguerre Spectral...
Honeywell’s quantum company goes public. What investors should know about the IPO
Honeywell-backed Quantinuum saw shares jump as much as 19% to over $71 each in their Thursday debut. The quantum company's stock closed well off those highs, up less than 1%, bringing the market cap to $15.66 billion. Roughly 28 million Quantinuum shares were priced at $60 apiece Wednesday night, above its previous expected range of $53 to $55.
Qubit-Efficient Quantum Annealing for Stochastic Unit Commitment
arXiv:2502.15917v3 Announce Type: replace-cross Abstract: Stochastic Unit Commitment (SUC) has been proposed to manage the uncertainties driven by renewable integration, but it leads to significant computational complexity. When accelerated by Benders Decomposition (BD), the master problem becomes binary integer programming, which is still NP-hard and computationally demanding for classical methods. Quantum Annealing (QA), known for efficiently solving Quadratic Unconstrained Binary...
In situ nanocrystal confinement for efficient blue perovskite LEDs
Abstract Metal halide perovskites have emerged as promising semiconductors for light-emitting diodes (LEDs) owing to their excellent luminescence properties1. However, their performance remains limited, primarily owing to the inherent contradiction between ‘high crystallinity’ and ‘small size’ in the in situ synthesis of perovskite nanocrystals on substrates. Here we report efficient blue perovskite LEDs (PeLEDs) achieved via in situ polymerization-driven nanocrystal confinement to...
Predictive surrogates could cut quantum computing measurement overhead by more than 99.97%
June 6, 2026 feature Predictive surrogates could cut quantum computing measurement overhead by more than 99.97% Ingrid Fadelli Author Sadie Harley Scientific Editor Robert Egan Associate Editor Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of outperforming classical computers on some tasks. Despite their potential, the use of these systems remains very limited, due to their high cost and other challenges that have so far...