Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Ensemble Variational Quantum Algorithm for Non-Markovian Quantum Dynamics
Peter L. Walters, Joachim Tsakanikas, Fei Wang·Mar 7, 2024
Many physical and chemical processes in the condensed phase environment exhibit non-Markovian quantum dynamics. As such simulations are challenging on classical computers, we developed a variational quantum algorithm that is capable of simulating non...
Hardware-efficient ansatz without barren plateaus in any depth
Chae-Yeun Park, Minhyeok Kang, Joonsuk Huh·Mar 7, 2024
Variational quantum circuits have recently gained much interest due to their relevance in real-world applications, such as combinatorial optimizations, quantum simulations, and modeling a probability distribution. Despite their huge potential, the pr...
Designing Variational Ansatz for Quantum‐Enabled Simulation of Non‐Unitary Dynamical Evolution ‐ An Excursion into Dicke Supperradiance
Saurabh Shivpuje, M. Sajjan, Yuchen Wang +2 more·Mar 7, 2024
Adaptive Variational Quantum Dynamics (AVQD) algorithms offer a promising approach to providing quantum‐enabled solutions for systems treated within the purview of open quantum dynamical evolution. In this study, the unrestricted‐vectorization varian...
Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance
Shengbin Wang, Peng Wang, Guihui Li +8 more·Mar 7, 2024
Great efforts have been dedicated in recent years to exploring practical applications for noisy intermediate-scale quantum (NISQ) computers, which is a fundamental and challenging problem in quantum computing. As one of the most promising methods, th...
Quantum Algorithm for Reversing Unknown Unitary Evolutions
Yuanyi Chen, Yin Mo, Yingjian Liu +2 more·Mar 7, 2024
Reversing an unknown quantum evolution is of central importance to quantum information processing and fundamental physics, yet it remains a formidable challenge as conventional methods necessitate an infinite number of queries to fully characterize t...
Reducing the Runtime of Fault-Tolerant Quantum Simulations in Chemistry through Symmetry-Compressed Double Factorization
Dario Rocca, Cristian L. Cortes, Jérôme F. Gonthier +7 more·Mar 6, 2024
Quantum phase estimation based on qubitization is the state-of-the-art fault-tolerant quantum algorithm for computing ground-state energies in chemical applications. In this context, the 1-norm of the Hamiltonian plays a fundamental role in determini...
Treespilation: architecture- and state-optimised fermion-to-qubit mappings
Aaron Miller, A. Glos, Zolt'an Zimbor'as·Mar 6, 2024
Quantum computers hold great promise for efficiently simulating Fermionic systems, benefiting fields like quantum chemistry and materials science. To achieve this, algorithms typically begin by choosing a Fermion-to-qubit mapping to encode the Fermio...
Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations
Yin Mo, Lei Zhang, Yuanyi Chen +3 more·Mar 6, 2024
Quantum combs play a vital role in characterizing and transforming quantum processes, with wide-ranging applications in quantum information processing. However, obtaining the explicit quantum circuit for the desired quantum comb remains a challenging...
Operator Learning Renormalization Group
Xiu-Zhe Luo, D. Luo, R. Melko·Mar 5, 2024
In this paper, we present a general framework for quantum many-body simulations called the operator learning renormalization group (OLRG). Inspired by machine learning perspectives, OLRG is a generalization of Wilson's numerical renormalization group...
Generation of true quantum random numbers with on-demand probability distributions via single-photon quantum walks.
Chao Meng, Miao Cai, Yufang Yang +7 more·Mar 5, 2024
Random numbers are at the heart of diverse fields, ranging from simulations of stochastic processes to classical and quantum cryptography. The requirement for true randomness in these applications has motivated various proposals for generating random...
Noise-Induced Transition in Optimal Solutions of Variational Quantum Algorithms
C. Li, Imanol Hernandez·Mar 5, 2024
Variational quantum algorithms are promising candidates for delivering practical quantum advantage on noisy intermediate-scale quantum (NISQ) hardware. However, optimizing the noisy cost functions associated with these algorithms is challenging for s...
Quantum Dynamical Emulation of Imaginary Time Evolution
Jacob M. Leamer, Alicia B. Magann, D. Bondar +1 more·Mar 5, 2024
We introduce a constructive method for mapping non-unitary dynamics to a weighted set of unitary operations. We utilize this construction to derive a new correspondence between real and imaginary time, which we term Imaginary Time Quantum Dynamical E...
Simulation of Chemical Reactions on a Quantum Computer.
Sumit Suresh Kale, S. Kais·Mar 5, 2024
Studying chemical reactions, particularly in the gas phase, relies heavily on computing scattering matrix elements. These elements are essential for characterizing molecular reactions and accurately determining reaction probabilities. However, the in...
Advancing quantum networking: some tools and protocols for ideal and noisy photonic systems
J. Saied, Jeffrey Marshall, Namit Anand +2 more·Mar 4, 2024
Quantum networking at many scales will be critical to future quantum technologies and experiments on quantum systems. Photonic links enable quantum networking. They will connect co-located quantum processors to enable large-scale quantum computers, p...
Quantum dynamical Hamiltonian Monte Carlo
Owen Lockwood, P. Weiss, Filip Aronshtein +1 more·Mar 4, 2024
One of the open challenges in quantum computing is to find meaningful and practical methods to leverage quantum computation to accelerate classical machine-learning workflows. A ubiquitous problem in machine-learning workflows is sampling from probab...
Computing exact moments of local random quantum circuits via tensor networks
Paolo Braccia, Pablo Bermejo, L. Cincio +1 more·Mar 4, 2024
A basic primitive in quantum information is the computation of the moments EU[Tr[UρU†O]t]\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \use...
Efficient Algorithm-Level Error Detection for Number-Theoretic Transform Used for Kyber Assessed on FPGAs and ARM
Kasra Ahmadi, S. Aghapour, Mehran Mozaffari Kermani +1 more·Mar 2, 2024
Polynomial multiplication stands out as a highly demanding arithmetic process in the development of post-quantum cryptosystems. The importance of the number-theoretic transform (NTT) extends beyond post-quantum cryptosystems, proving valuable in enha...
Multiple classical noise mitigation by multiobjective robust quantum optimal control
Bowen Shao, Xiaodong Yang, Ran Liu +4 more·Mar 1, 2024
High-quality control is a fundamental requirement for quantum computation, but practically it is often hampered by the presence of various types of noises, which can be static or time-dependent. In many realistic scenarios, multiple noise sources coe...
Optimal Quantum Circuit Cuts with Application to Clustered Hamiltonian Simulation
A. Harrow, Angus Lowe·Mar 1, 2024
We study methods to replace entangling operations with random local operations in a quantum computation, at the cost of increasing the number of required executions. First, we consider “spacelike cuts” where an entangling unitary is replaced with ran...
Crosstalk-robust quantum control in multimode bosonic systems
Xinyuan You, Yunwei Lu, Taeyoon Kim +10 more·Mar 1, 2024
High-coherence superconducting cavities offer a hardware-efficient platform for quantum information processing. To achieve universal operations of these bosonic modes, the requisite nonlinearity is realized by coupling them to a transmon ancilla. How...