Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Detecting errors in a quantum network with Pauli checks
Alvin Gonzales, Daniel Dilley, Bikun Li +2 more·May 24, 2024
We apply the quantum error detection scheme Pauli check sandwiching (PCS) to quantum networks by turning it into a distributed multiparty protocol. PCS provides protection on the targeted qubits and generally requires less resource overhead than stan...
Compilation for Dynamically Field-Programmable Qubit Arrays with Efficient and Provably Near-Optimal Scheduling
Daniel Bochen Tan, Wan-Hsuan Lin, Jason Cong·May 23, 2024
Dynamically field-programmable qubit arrays based on neutral atoms feature high fidelity and highly parallel gates for quantum computing. However, it is challenging for compilers to fully leverage the novel flexibility offered by such hardware while ...
Qudit-Generalization of the Qubit Echo and Its Application to a Qutrit-Based Toffoli Gate
Y. Iiyama, Wonho Jang, Naoki Kanazawa +3 more·May 23, 2024
The fidelity of certain gates on noisy quantum computers may be improved when they are implemented using more than two levels of the involved transmons. The main impediments to achieving this potential are the dynamic gate phase errors that cannot be...
Scalable quantum circuits for exponential of Pauli strings and Hamiltonian simulations
Rohit Sarma Sarkar, Sabyasachi Chakraborty, Bibhas Adhikari·May 22, 2024
In this paper, we design quantum circuits for the exponential of scaled $n$-qubit Pauli strings using single-qubit rotation gates, Hadamard gate, and CNOT gates. A key result we derive is that any two Pauli-string operators composed of identity and $...
Reducing Mid-Circuit Measurements via Probabilistic Circuits
Yanbin Chen, Innocenzo Fulginiti, C. Mendl·May 22, 2024
Mid-circuit measurements and measurement-controlled gates are supported by an increasing number of quantum hardware platforms and will become more relevant as an essential building block for quantum error correction. However, mid-circuit measurements...
Programmable quantum circuits in a large-scale photonic waveguide array
Yang Yang, R. Chapman, Akram Youssry +4 more·May 22, 2024
Over the past decade, integrated quantum photonic technologies have shown great potential as a platform for studying quantum phenomena and realizing large-scale quantum information processing. Recently, there have been proposals for utilizing wavegui...
On Classical Simulation of Quantum Circuits Composed of Clifford Gates
G. Biswas·May 22, 2024
The Gottesman–Knill theorem asserts that quantum circuits composed solely of Clifford gates can be efficiently simulated classically. This theorem hinges on the fact that Clifford gates map Pauli strings to other Pauli strings, thereby allowing for a...
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning
Michael Kölle, Timo Witter, Tobias Rohe +3 more·May 20, 2024
Quantum Computing aims to streamline machine learning, making it more effective with fewer trainable parameters. This reduction of parameters can speed up the learning process and reduce the use of computational resources. However, in the current pha...
Quantum sampling algorithms for quantum state preparation and matrix block-encoding
Jessica Lemieux, Matteo Lostaglio, Sam Pallister +4 more·May 19, 2024
The problems of quantum state preparation and matrix block-encoding are ubiquitous in quantum computing: they are crucial parts of various quantum algorithms for the purpose for initial state preparation as well as loading problem relevant data. We f...
Simulating X-ray absorption spectroscopy of battery materials on a quantum computer
Stepan Fomichev, Kasra Hejazi, Ignacio Loaiza +5 more·May 17, 2024
X-ray absorption spectroscopy is a crucial experimental technique for elucidating the mechanisms of structural degradation in battery materials. However, extracting information from the measured spectrum is challenging without high-quality simulation...
Simulation of a feedback-based algorithm for quantum optimization for a realistic neutral-atom system with an optimized small-angle controlled-phase gate
S. X. Li, W. Mu, J. You +1 more·May 16, 2024
In contrast to the classical optimization process required by the quantum approximate optimization algorithm, FALQON, a feedback-based algorithm for quantum optimization [A. B. Magann {\it et al.,} {\color{blue}Phys. Rev. Lett. {\bf129}, 250502 (2022...
Toward a linear-ramp QAOA protocol: evidence of a scaling advantage in solving some combinatorial optimization problems
J. A. Montañez-Barrera, K. Michielsen·May 15, 2024
The quantum approximate optimization algorithm (QAOA) is a promising algorithm for solving combinatorial optimization problems (COPs), with performance governed by variational parameters {γi,βi}i=0p−1\documentclass[12pt]{minimal} \usepackage{amsmath}...
Demonstrating a universal logical gate set in error-detecting surface codes on a superconducting quantum processor
Jiaxuan Zhang, Zhao-Yun Chen, Yun-Jie Wang +6 more·May 15, 2024
Fault-tolerant quantum computing (FTQC) is essential for achieving large-scale practical quantum computation. Implementing arbitrary FTQC requires the execution of a universal gate set on logical qubits, which is highly challenging. Particularly, in ...
Parameter optimization comparison in QAOA using Stochastic Hill Climbing with Random Re-starts and Local Search with entangled and non-entangled mixing operators
Brian García Sarmina, Guo-Hua Sun, Shi-Hai Dong·May 14, 2024
This study investigates the efficacy of Stochastic Hill Climbing with Random Restarts (SHC-RR) compared to Local Search (LS) strategies within the Quantum Approximate Optimization Algorithm (QAOA) framework across various problem models. Employing un...
Measurement-based quantum machine learning
Luis Mantilla Calder'on, R. Raussendorf, P. Feldmann +1 more·May 14, 2024
Quantum machine learning (QML) leverages quantum computing for classical inference, furnishes the processing of quantum data with machine-learning methods, and provides quantum algorithms adapted to noisy devices. Typically, QML proposals are framed ...
Quantum unitary matrix representation of the lattice Boltzmann model for low Reynolds fluid flow simulation
E. D. Kumar, Steven H. Frankel·May 14, 2024
We propose a quantum algorithm for the lattice Boltzmann (LB) method to simulate fluid flows in the low Reynolds number regime. First, we encode the particle distribution functions (PDFs) as probability amplitudes of the quantum state and demonstrate...
Distributed Quantum Computation with Minimum Circuit Execution Time over Quantum Networks
Ranjani G. Sundaram, Himanshu Gupta, C. Ramakrishnan·May 13, 2024
Present quantum computers are constrained by limited qubit capacity and restricted physical connectivity, leading to challenges in large-scale quantum computations. Distributing quantum computations across a network of quantum computers is a promisin...
An Abstract Model and Efficient Routing for Logical Entangling Gates on Zoned Neutral Atom Architectures
Yannick Stade, Ludwig Schmid, Lukas Burgholzer +1 more·May 13, 2024
Recent experimental achievements have demonstrated the potential of neutral atom architectures for fault-tolerant quantum computing. These architectures feature the dynamic rearrangement of atoms during computation-enabling nearly arbitrary two-dimen...
Symmetric Clifford twirling for cost-optimal quantum error mitigation in early FTQC regime
Kento Tsubouchi, Yosuke Mitsuhashi, Kunal Sharma +1 more·May 13, 2024
Twirling noise affecting quantum gates is essential in understanding and controlling errors, but applicable operations to noise are usually restricted by symmetries inherent in quantum gates. In this work, we propose symmetric Clifford twirling, a Cl...
From Entanglement to Universality: A Multiparticle Spacetime Algebra Approach to Quantum Computational Gates Revisited
C. Cafaro, Newshaw Bahreyni, Leonardo Rossetti·May 13, 2024
Alternative mathematical explorations in quantum computing can be of great scientific interest, especially if they come with penetrating physical insights. In this paper, we present a critical revisitation of our application of geometric (Clifford) a...