Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
A Hybrid Quantum Solver for the Lorenz System
S. F. Hafshejani, D. Gaur, Arundhati Dasgupta +3 more·Oct 20, 2024
We develop a hybrid classical–quantum method for solving the Lorenz system. We use the forward Euler method to discretize the system in time, transforming it into a system of equations. This set of equations is solved by using the Variational Quantum...
Explicit error bounds with commutator scaling for time-dependent product and multi-product formulas
Kaoru Mizuta, Tatsuhiko N. Ikeda, Keisuke Fujii·Oct 18, 2024
Product formula (PF), which approximates the time evolution under a many-body Hamiltonian by the product of local time evolution operators, is one of the central approaches for simulating quantum dynamics by quantum computers. It has been of great in...
(Nearly) Optimal Time-dependent Hamiltonian Simulation
Nhat A. Nghiem·Oct 18, 2024
We describe a simple quantum algorithm to simulate time-dependent Hamiltonian, extending the methodology of quantum signal processing. The framework achieves optimal scaling up to some factor with respect to other parameters, and nearly optimal in in...
Efficient charge-preserving excited state preparation with variational quantum algorithms
Zohim Chandani, Kazuki Ikeda, Zhong-Bo Kang +7 more·Oct 18, 2024
Determining the spectrum and wave functions of excited states of a system is crucial in quantum physics and chemistry. Low-depth quantum algorithms, such as the Variational Quantum Eigensolver (VQE) and its variants, can be used to determine the grou...
Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework
Boyuan Zhang, Bo Fang, Fanjiang Ye +4 more·Oct 17, 2024
Full-state quantum circuit simulation requires exponentially increased memory size to store the state vector as the number of qubits scales, presenting significant limitations in classical computing systems. Our paper introduces BMQSim, a novel state...
Quantum Embedding of Non-Local Quantum Many-Body Interactions in an Prototypal Anti-Tumor Vaccine Metalloprotein on Near-Term Quantum Computing Hardware
Elena Chachkarova, Terence Tse, C. Weber +2 more·Oct 16, 2024
The world obeys quantum physics and quantum computing presents an alternative way to map physical problems to systems that follow the same laws. Such computation fundamentally constitutes a better way to understand the most challenging quantum proble...
Quantum Boltzmann machine learning of ground-state energies
Dhrumil Patel, Dan Koch, Saahil Patel +1 more·Oct 16, 2024
Estimating the ground-state energy of Hamiltonians is a fundamental task for which it is believed that quantum computers can be helpful. Several approaches have been proposed toward this goal, including algorithms based on quantum phase estimation an...
Simulation of Quantum Computers: Review and Acceleration Opportunities
Alessio Cicero, Mohammad Ali Maleki, M. Azhar +2 more·Oct 16, 2024
Quantum computing has the potential to revolutionise multiple fields by solving complex problems that cannot be solved in reasonable time with current classical computers. Nevertheless, the development of quantum computers is still in its early stage...
Many-body quantum resources of graph states
Marcin Plodzie'n, Maciej Lewenstein, Jan Chwede'nczuk·Oct 16, 2024
Characterizing the non-classical correlations of a complex many-body system is an important part of quantum technologies. An ideal tool for this task would scale well with the size of the system, be easily computable and be easily measurable. In this...
Dynamical weight reduction of Pauli measurements
J. M. D. L. Fuente·Oct 16, 2024
Many routines that one might want to run on a quantum computer can benefit from adaptive circuits, relying on mid-circuit measurements and feed-forward operations. Any such measurement has to be compiled into a sequence of elementary gates involving ...
Agnostic Process Tomography
Chirag Wadhwa, Laura Lewis, Elham Kashefi +1 more·Oct 15, 2024
Characterizing a quantum system by learning its state or evolution is a fundamental problem in quantum physics and learning theory with a myriad of applications. Recently, as a new approach to this problem, the task of agnostic state tomography was d...
Non-unitarity maximizing unraveling of open quantum dynamics
Ruben Daraban, Fabrizio Salas-Ram'irez, J. Schachenmayer·Oct 15, 2024
The dynamics of many-body quantum states in open systems is commonly numerically simulated by unraveling the density matrix into pure-state trajectories. In this work, we introduce a new unraveling strategy that can adaptively minimize the averaged e...
Resource-adaptive quantum flow algorithms for quantum simulations of many-body systems: sub-flow embedding procedures
Karol Kowalski, Nicholas P. Bauman·Oct 15, 2024
In this study, we utilised the quantum flow (QFlow) method to perform quantum simulations of correlated systems. The QFlow approach allows for sampling large sub-spaces of the Hilbert space by solving coupled variational problems in reduced dimension...
Tachyonic and parametric instabilities in an extended bosonic Josephson junction
Laura Batini, Sebastian Erne, Jörg Schmiedmayer +1 more·Oct 14, 2024
We study the dynamics and decay of quantum phase coherence for Bose-Einstein condensates in tunnel-coupled quantum wires. The two elongated Bose-Einstein condensates exhibit a wide variety of dynamic phenomena where quantum fluctuations can lead to a...
Efficient Simulation of Open Quantum Systems on NISQ Trapped‐Ion Hardware
Colin Burdine, Nora M. Bauer, G. Siopsis +1 more·Oct 14, 2024
Simulating open quantum systems, which interact with external environments, presents significant challenges on noisy intermediate‐scale quantum (NISQ) devices due to limited qubit resources and noise. In this study, an efficient framework is proposed...
Robustness of near-thermal dynamics on digital quantum computers
E. Chertkov, Yi-Hsiang Chen, M. Lubasch +2 more·Oct 14, 2024
Understanding the impact of gate errors on quantum circuits is crucial to determining the potential applications of quantum computers, especially in the absence of large-scale error-corrected hardware. We put forward analytical arguments, corroborate...
QOPS: a compiler framework for quantum circuit simulation acceleration with profile-guided optimizations
Yu-Tsung Wu, Po-Hsuan Huang, Kai-Chieh Chang +2 more·Oct 12, 2024
Quantum circuit simulation is important in the evolution of quantum software and hardware. Novel algorithms can be developed and evaluated by performing quantum circuit simulations on classical computers before physical quantum computers are availabl...
Observable measurement-induced transitions
Aleksei Khindanov, I. Aleiner, L. Faoro +1 more·Oct 12, 2024
One of the main postulates of quantum mechanics is that measurements destroy quantum coherence (wave function collapse). Recently it was discovered that in a many-body system dilute local measurements still preserve some coherence across the entire s...
Quantum Neural Network for Accelerated Magnetic Resonance Imaging
Shuo Zhou, Yihang Zhou, Congcong Liu +4 more·Oct 12, 2024
Magnetic resonance image reconstruction starting from undersampled k-space data requires the recovery of many potential nonlinear features, which is very difficult for algorithms to recover these features. In recent years, the development of quantum ...
Analog simulation of noisy quantum circuits
Etienne Granet, Kévin Hémery, Henrik Dreyer·Oct 11, 2024
It is well known that simulating quantum circuits with low but nonzero hardware noise is more difficult than without noise. It requires either to perform density matrix simulations (coming with a space overhead) or to sample over “quantum trajectorie...