Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,008 papers in 12 months (-3% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
BeSnake: A Routing Algorithm for Scalable Spin-Qubit Architectures
Nikiforos Paraskevopoulos, C. G. Almudéver, Sebastian Feld·Mar 24, 2024
As quantum computing devices increase in size with respect to the number of qubits, two-qubit interactions become more challenging, necessitating innovative and scalable qubit routing solutions. In this work, we introduce beSnake, a novel algorithm s...
Linear Cross-Entropy Certification of Quantum Computational Advantage in Gaussian Boson Sampling
Javier Martínez-Cifuentes, H. de Guise, Nicolás Quesada·Mar 22, 2024
Validation of quantum advantage claims in the context of Gaussian boson sampling (GBS) currently relies on providing evidence that the experimental samples genuinely follow their corresponding ground truth, i.e., the theoretical model of the experime...
Polynomial-Time Classical Simulation of Noisy IQP Circuits with Constant Depth
Joel Rajakumar, James D. Watson, Yi-Kai Liu·Mar 21, 2024
Sampling from the output distributions of quantum computations comprising only commuting gates, known as instantaneous quantum polynomial (IQP) computations, is believed to be intractable for classical computers, and hence this task has become a lead...
FPGA-Based Distributed Union-Find Decoder for Surface Codes
Namitha Liyanage, Yue Wu, Siona Tagare +1 more·Mar 20, 2024
A fault-tolerant quantum computer must decode and correct errors faster than they appear to prevent exponential slowdown due to error correction. The Union-Find (UF) decoder is promising with an average time complexity slightly higher than <inline-fo...
Noise-induced shallow circuits and absence of barren plateaus
A. A. Mele, Armando Angrisani, Soumik Ghosh +4 more·Mar 20, 2024
Motivated by realistic hardware considerations of the pre-fault-tolerant era, we comprehensively study the impact of uncorrected noise on quantum circuits. We first show that any noise `truncates' most quantum circuits to effectively logarithmic dept...
Scalability of quantum error mitigation techniques: from utility to advantage
S. N. Filippov, Sabrina Maniscalco, Guillermo Garc'ia-P'erez·Mar 20, 2024
Error mitigation has elevated quantum computing to the scale of hundreds of qubits and tens of layers; however, yet larger scales (deeper circuits) are needed to fully exploit the potential of quantum computing to solve practical problems otherwise i...
Denoising of imaginary time response functions with Hankel projections
Yang Yu, A. F. Kemper, Chao Yang +1 more·Mar 19, 2024
Imaginary-time response functions of finite-temperature quantum systems are often obtained with methods that exhibit stochastic or systematic errors. Reducing these errors comes at a large computational cost—in quantum Monte Carlo simulations, the re...
Measuring Quantum Information Leakage Under Detection Threat
F. Farokhi, Sejeong Kim·Mar 18, 2024
Gentle quantum leakage is proposed as a measure of information leakage to arbitrary eavesdroppers that aim to avoid detection. Gentle (also sometimes referred to as weak or non-demolition) measurements are used to encode the desire of the eavesdroppe...
Concatenated Steane code with single-flag syndrome checks
Bálint Pató, Theerapat Tansuwannont, Kenneth R. Brown·Mar 15, 2024
A fault-tolerant error correction (FTEC) protocol with a high error suppression rate and low overhead is very desirable for the near-term implementation of quantum computers. In this work, we develop a distance-preserving flag FTEC protocol for the [...
Bias Control and Linearization of the Transfer Function of Electro-optic and Acousto-optic Modulators
Clemens Neumuller, F. Obernosterer, Raimund Meyer +2 more·Mar 15, 2024
In several types of quantum computers light is one of the main tools to control both the position and the quantum state of the atoms used for computing. In practical systems laser light is applied to manipulate quantum states of qubits in the desired...
Bridging Quantum Computing and Differential Privacy: Insights into Quantum Computing Privacy
Yusheng Zhao, Hui Zhong, Xinyue Zhang +3 more·Mar 14, 2024
While quantum computing has strong potential in data-driven fields, the privacy issue of sensitive or valuable information involved in the quantum algorithm should be considered. Differential privacy (DP), which is a fundamental privacy tool widely u...
Optimal adaptation of surface-code decoders to local noise
A. Darmawan·Mar 13, 2024
Information obtained from noise characterization of a quantum device can be used in classical decoding algorithms to improve the performance of quantum error-correcting codes. Focusing on the surface code under local (i.e. single-qubit) noise, we pre...
Solving lattice gauge theories using the quantum Krylov algorithm and qubitization
L. W. Anderson, M. Kiffner, Tom O'Leary +2 more·Mar 13, 2024
Computing vacuum states of lattice gauge theories (LGTs) containing fermionic degrees of freedom can present significant challenges for classical computation using Monte-Carlo methods. Quantum algorithms may offer a pathway towards more scalable comp...
Partitioned Quantum Subspace Expansion
Tom O'Leary, L. W. Anderson, D. Jaksch +1 more·Mar 13, 2024
We present an iterative generalisation of the quantum subspace expansion algorithm used with a Krylov basis. The iterative construction connects a sequence of subspaces via their lowest energy states. Diagonalising a Hamiltonian in a given Krylov sub...
A Provably Secure Framework for Noise-Aware Delegated Quantum Computation and Storage
Sanidhya Gupta, Ankur Raina·Mar 12, 2024
As large-scale quantum computers become a reality, they will likely exist as centralized cloud resources accessible to a broad user base. Securely delegating private quantum computations to untrusted servers is therefore a foundational challenge. Thi...
Syncopated Dynamical Decoupling for Suppressing Crosstalk in Quantum Circuits
B. Evert, Zoe Gonzalez Izquierdo, James Sud +5 more·Mar 12, 2024
Theoretically understanding and experimentally characterizing and modifying the underlying Hamiltonian of a quantum system is of utmost importance in achieving high-fidelity quantum gates for quantum computing. In this work, we explore the use of dyn...
Suppressing Correlated Noise in Quantum Computers via Context-Aware Compiling
A. Seif, Haoran Liao, Vinay Tripathi +5 more·Mar 11, 2024
Coherent errors, and especially those that occur in correlation among a set of qubits, are detrimental for large-scale quantum computing. Correlations in noise can occur as a result of spatial and temporal configurations of instructions executing on ...
Better than classical? The subtle art of benchmarking quantum machine learning models
Joseph Bowles, Shahnawaz Ahmed, M. Schuld·Mar 11, 2024
Benchmarking models via classical simulations is one of the main ways to judge ideas in quantum machine learning before noise-free hardware is available. However, the huge impact of the experimental design on the results, the small scales within reac...
Error-Mitigated Quantum Random Access Memory
Wenbo Shi, Neel Kanth Kundu, Matthew R. McKay +1 more·Mar 10, 2024
As an alternative to quantum error correction, quantum error mitigation methods, including Zero-Noise Extrapolation (ZNE), have been proposed to alleviate run-time errors in current noisy quantum devices. In this work, we propose a modified version o...
Noise Robustness of Quantum Relaxation for Combinatorial Optimization
Kentaro Tamura, Yohichi Suzuki, Rudy Raymond +5 more·Mar 8, 2024
Relaxation is a common way for dealing with combinatorial optimization problems. Quantum random-access optimization (QRAO) is a quantum-relaxation-based optimizer that uses fewer qubits than the number of bits in the original problem by encoding mult...