Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
27,694
This Month
1,159
Today
0
Research Volume
13,008 papers in 12 months (-3% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
TANQ-Sim: Tensorcore Accelerated Noisy Quantum System Simulation via QIR on Perlmutter HPC
Ang Li, Chenxu Liu, S. Stein +7 more·Apr 19, 2024
Although there have been remarkable advances in quantum computing (QC), it remains crucial to simulate quantum programs using classical large-scale parallel computing systems to validate quantum algorithms, comprehend the impact of noise, and develop...
Lattice Surgery for Dummies
Avimita Chatterjee, Subrata Das, Swaroop Ghosh·Apr 19, 2024
Quantum error correction (QEC) plays a crucial role in correcting noise and paving the way for fault-tolerant quantum computing. This field has seen significant advancements, with new quantum error correction codes emerging regularly to address error...
Active robustness against the detuning-error for Rydberg quantum gates
Qing-Ling Hou, Han Wang, Jing Qian·Apr 18, 2024
Error suppression to the experimental imperfections is a central challenge for useful quantum computing. Recent studies have shown the advantages of using single-modulated pulses based on optimal control which can realize high-fidelity two-qubit gate...
Fault-tolerant quantum computing with the parity code and biased-noise qubits
A. Messinger, Valentin Torggler, Berend Klaver +2 more·Apr 17, 2024
We present a fault-tolerant universal quantum computing architecture based on a code concatenation of biased-noise qubits and the parity architecture. The parity architecture can be understood as a low-density parity-check code tailored specifically ...
Bayesian Parameterized Quantum Circuit Optimization (BPQCO): a task and hardware-dependent approach
Alexander Ben'itez-Buenache, Queralt Portell-Montserrat·Apr 17, 2024
Variational quantum algorithms (VQAs) have emerged as a promising quantum alternative for solving optimization and machine learning problems using parameterized quantum circuits (PQCs). The design of these circuits influences the ability of the algor...
Optimized measurement-free and fault-tolerant quantum error correction for neutral atoms
Stefano Veroni, Markus Müller, G. Giudice·Apr 17, 2024
A major challenge in performing quantum error correction (QEC) is implementing reliable measurements and conditional feed-forward operations. In quantum computing platforms supporting unconditional qubit resets, or a constant supply of fresh qubits, ...
A quantum eigenvalue solver based on tensor networks
Oskar Leimkuhler, K. Birgitta Whaley·Apr 16, 2024
Electronic ground states are of central importance in chemical simulations, but have remained beyond the reach of efficient classical algorithms except in cases of weak electron correlation or one-dimensional spatial geometry. We introduce a hybrid q...
Quantum computers, quantum computing, and quantum thermodynamics
Fabrizio Cleri·Apr 15, 2024
Quantum thermodynamics aims to extend standard thermodynamics and non-equilibrium statistical physics to systems with sizes well below the thermodynamic limit. It is a rapidly evolving research field that promises to change our understanding of the f...
Dynamical mean field theory for real materials on a quantum computer
Johannes Selisko, Maximilian Amsler, Christopher Wever +6 more·Apr 15, 2024
Quantum computers (QC) could harbor the potential to significantly advance materials simulations, particularly at the atomistic scale involving strongly correlated fermionic systems, where an accurate description of quantum many-body effects scales u...
Quantum subspace expansion in the presence of hardware noise
João C. Getelina, Prachi Sharma, T. Iadecola +2 more·Apr 14, 2024
Finding ground state energies on current quantum processing units (QPUs) using algorithms such as the variational quantum eigensolver (VQE) continues to pose challenges. Hardware noise severely affects both the expressivity and trainability of parame...
Extension of Clifford Data Regression Methods for Quantum Error Mitigation
J. Pérez-Guijarro, A. Pagés-Zamora, J. Fonollosa·Apr 14, 2024
In addressing the challenge posed by noise in actual quantum devices, the application of quantum error mitigation techniques becomes essential. These techniques are resource-efficient, making them viable for implementation in noisy intermediate-scale...
Performance analysis of a filtering variational quantum algorithm
Gabriel Marin-Sanchez, D. Amaro·Apr 13, 2024
Even a minor boost in solving combinatorial optimization problems can greatly benefit multiple industries. Quantum computers, with their unique information processing capabilities, hold promise for delivering such enhancements. The filtering variatio...
An Unsupervised Machine Learning to Optimize Hybrid Quantum Noise Clusters for Gaussian Quantum Channel
Mouli Chakraborty, Anshu Mukherjee, Ioannis Krikidis +2 more·Apr 13, 2024
This work focuses on optimizing the hybrid quantum noise model to improve the capacity of Gaussian quantum channels using Machine Learning (ML) generated clusters. The work specifically leverages Gaussian Mixture Model (GMM) and the Expectation-Maxim...
Entanglement determination with a deep multiscale entanglement renormalization ansatz
Kushagra Garg, Zeeshan Ahmed, Andreas Thomasen·Apr 12, 2024
We study the deep multi-scale entanglement renormalization ansatz (DMERA) on quantum hardware and the causal cone of a subset of the qubits which make up the ansatz. This causal cone spans $O(M+\log{N})$ physical qubits on a quantum device, where $M$...
Modeling Stochastic Chemical Kinetics on Quantum Computers
Tilas Kabengele, Yash Lokare, J. B. Marston +1 more·Apr 12, 2024
The Chemical Master Equation (CME) provides a highly accurate, yet extremely resource-intensive representation of a stochastic chemical reaction network and its kinetics due to the exponential scaling of its possible states with the number of reactin...
On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Job Scheduling
Wenjie Wu, Yiquan Wang, G. Yan +3 more·Apr 11, 2024
Quantum computing has gained considerable attention, especially after the arrival of the Noisy Intermediate-Scale Quantum (NISQ) era. Quantum processors and cloud services have been made worldwide increasingly available. Unfortunately, jobs on existi...
Benchmarking Digital Quantum Simulations Above Hundreds of Qubits Using Quantum Critical Dynamics
Alexander Miessen, Daniel J. Egger, I. Tavernelli +1 more·Apr 11, 2024
The real-time simulation of large many-body quantum systems is a formidable task, that may only be achievable with a genuine quantum computational platform. Currently, quantum hardware with a number of qubits sufficient to make classical emulation ch...
Quantum Tunneling: From Theory to Error‐Mitigated Quantum Simulation
Sorana Catrina, Alexandra Baicoianu·Apr 10, 2024
Ever since the discussions about a possible quantum computer arised, quantum simulations have been at the forefront of possible utilities, with the task of quantum simulations being one that promises quantum advantage. Recently, advancements have mad...
A Modified Depolarization Approach for Efficient Quantum Machine Learning
Bikram Khanal, Pablo Rivas·Apr 10, 2024
Quantum Computing in the Noisy Intermediate-Scale Quantum (NISQ) era has shown promising applications in machine learning, optimization, and cryptography. Despite these progresses, challenges persist due to system noise, errors, and decoherence. Thes...
Non-Gaussian state teleportation with a nonlinear feedforward
Vojtěch Kala, Mattia Walschaers, Radim Filip +1 more·Apr 9, 2024
Measurement-induced quantum computation with continuous-variable cluster states utilizes teleportation to transmit and alter quantum states via measurement-and-feedforward control. One of the key challenges of this approach is the deterioration of qu...