Papers
Live trends in quantum computing research, updated daily from arXiv.
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Quantum circuits for SU(3) lattice gauge theory
Praveen Balaji, Cianán Conefrey-Shinozaki, Patrick Draper +5 more·Mar 11, 2025
Lattice gauge theories in varying dimensions, lattice volumes, and truncations offer a rich family of targets for Hamiltonian simulation on quantum devices. In return, formulating quantum simulations can provide new ways of thinking about the quantum...
Challenging the Quantum Advantage Frontier with Large-Scale Classical Simulations of Annealing Dynamics
Linda Mauron, Giuseppe Carleo·Mar 11, 2025
Recent demonstrations of D-Wave's annealing-based quantum simulators have established new benchmarks for quantum computational advantage [arXiv:2403.00910]. However, the precise location of the classical-quantum computational frontier remains an open...
Tensor networks for quantum computing
A. Berezutskii, Atithi Acharya, R. Ellerbrock +24 more·Mar 11, 2025
Tensor networks have become a useful tool in many areas of physics, especially in quantum information science and quantum computing, where they are used to represent and manipulate quantum states and processes. The original use of tensor networks is ...
Nonstabilizerness dynamics in many-body localized systems
Pedro R. Nicácio Falcão, Piotr Sierant, Jakub Zakrzewski +1 more·Mar 10, 2025
Nonstabilizerness, also known as ``magic'', quantifies the deviation of quantum states from stabilizer states, capturing the complexity necessary for quantum computational advantage. In this study, we investigate the dynamics of nonstabilizerness in ...
An accurate and efficient analytic model of fidelity under depolarizing noise oriented to large scale quantum system design
Pau Escofet, Santiago Rodrigo, Artur Garcia-S'aez +3 more·Mar 9, 2025
Fidelity is one of the most valuable and commonly used metrics for assessing the performance of quantum circuits on error-prone quantum processors. Several approaches have been proposed to estimate circuit fidelity without executing it on quantum har...
Distributed quantum algorithm for the dihedral hidden subgroup problem
Peng-Ze Yang, Xin Zhang, Song Lin·Mar 9, 2025
To address the issue of excessive quantum resource requirements in Kuperberg's algorithm for the dihedral hidden subgroup problem, this paper proposes a distributed algorithm based on the function decomposition. By splitting the original function int...
HIVQE: Handover Iterative Variational Quantum Eigensolver for Efficient Quantum Chemistry Calculations
Aidan Pellow-Jarman, Shane McFarthing Doo, Hyung Kang +6 more·Mar 8, 2025
A novel hybrid quantum-classical approach has been developed to efficiently address the multireference quantum chemistry problem. The Handover Iterative Variational Quantum Eigensolver (HiVQE) is designed to accurately estimate ground-state wavefunct...
Digital Zero-Noise Extrapolation with Quantum Circuit Unoptimization
Elijah Pelofske, Vincent Russo·Mar 8, 2025
Quantum circuit unoptimization is an algorithm that transforms a quantum circuit into a different circuit that uses more gate operations while maintaining the same unitary transformation. We demonstrate that this method can implement digital zero-noi...
QAOA in Quantum Datacenters: Parallelization, Simulation, and Orchestration
Amana Liaqat, Ahmed Darwish, Adrian Roman +1 more·Mar 8, 2025
Scaling quantum computing requires networked systems, leveraging HPC for distributed simulation now and quantum networks in the future. Quantum datacenters will be the primary access point for users, but current approaches demand extensive manual dec...
Fast and memory-efficient strong simulation of noisy adaptive linear optical circuits
Timothée Goubault de Brugière, Nicolas Heurtel·Mar 7, 2025
Exactly computing the full output distribution of linear optical circuits remains a challenge, as existing methods are either time-efficient but memory-intensive or memory-efficient but slow. Moreover, any realistic simulation must account for noise,...
Data-Efficient Error Mitigation for Physical and Algorithmic Errors in a Hamiltonian Simulation
Shigeo Hakkaku, Yasunari Suzuki, Yuuki Tokunaga +1 more·Mar 7, 2025
Quantum dynamics simulation via Hamilton simulation algorithms is one of the most crucial applications in the quantum computing field. While this task has been relatively considered the target in the fault-tolerance era, the experiment for demonstrat...
Phase estimation with partially randomized time evolution
Jakob Gunther, Freek Witteveen, Alexander Schmidhuber +3 more·Mar 7, 2025
Quantum phase estimation combined with Hamiltonian simulation is the most promising algorithmic framework to computing ground state energies on quantum computers. Its main computational overhead derives from the Hamiltonian simulation subroutine. In ...
Dynamics of disordered quantum systems with two- and three-dimensional tensor networks
Joseph Tindall, A. Mello, M. Fishman +2 more·Mar 7, 2025
Quantum spin glasses form a good testbed for studying the performance of various quantum annealing and optimization algorithms. In this work we show how two- and three-dimensional tensor networks can accurately and efficiently simulate the quantum an...
Scalable quantum simulator with an extended gate set in giant atoms
Guangze Chen, Anton Frisk Kockum·Mar 6, 2025
Quantum computation and quantum simulation require a versatile gate set to optimize circuit compilation for practical applications. However, existing platforms are often limited to specific gate types or rely on parametric couplers to extend their ga...
AppQSim: Application-oriented benchmarks for Hamiltonian simulation on a quantum computer
Etienne Granet, Henrik Dreyer·Mar 6, 2025
We introduce AppQSim, a benchmarking suite for quantum computers focused on applications of Hamiltonian simulation. We consider five different settings for which we define a precise task and score: condensed matter and material simulation (dynamic an...
Bounding the computational power of bosonic systems
Varun Upreti, Ulysse Chabaud·Mar 5, 2025
Bosonic quantum systems operate in an infinite-dimensional Hilbert space, unlike discrete-variable quantum systems. This distinct mathematical structure leads to fundamental differences in quantum information processing, such as an exponentially grea...
Construction and Decoding of Quantum Margulis Codes
Michele Pacenti, Dimitris Chytas, Bane V. Vasic·Mar 5, 2025
Quantum low-density parity-check codes are a promising approach to fault-tolerant quantum computation, offering potential advantages in rate and decoding efficiency. In this work, we introduce quantum Margulis codes, a new class of QLDPC codes derive...
Efficient Quantum Chemistry Calculations on Noisy Quantum Hardware
Nora M. Bauer, Kubra Yeter-Aydeniz, G. Siopsis·Mar 4, 2025
A hardware‐efficient optimization scheme is presented for quantum chemistry calculations, utilizing the Sampled Quantum Diagonalization (SQD) method. This algorithm, optimized SQD (SQDOpt), combines the classical Davidson method technique with added ...
QCLAB: A Matlab Toolbox for Quantum Computing
Sophia Keip, Daan Camps, R. Beeumen·Mar 4, 2025
We introduce QCLAB, an object-oriented MATLAB toolbox for constructing, representing, and simulating quantum circuits. Designed with an emphasis on numerical stability, efficiency, and performance, QCLAB provides a reliable platform for prototyping a...
Fast Expectation Value Calculation Speedup of Quantum Approximate Optimization Algorithm: HoLCUs QAOA
Alejandro Mata Ali·Mar 3, 2025
In this paper, we present a new method for calculating expectation values of operators that can be expressed as a linear combination of unitary (LCU) operators. This method allows to perform this calculation in a single quantum circuit measuring a si...