Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation
Elijah Pelofske, Vincent Russo, Ryan Larose +5 more·Jun 28, 2023
Quantum volume is a full-stack benchmark for near-term quantum computers. It quantifies the largest size of a square circuit which can be executed on the target device with reasonable fidelity. Error mitigation is a set of techniques intended to remo...
Classically Computing Performance Bounds on Depolarized Quantum Circuits
Sattwik Deb Mishra, Miguel Fr'ias-P'erez, Rahul Trivedi·Jun 28, 2023
Quantum computers and simulators can potentially outperform classical computers in finding ground states of classical and quantum Hamiltonians. However, if this advantage can persist in the presence of noise without error correction remains unclear. ...
Effective quantum volume, fidelity and computational cost of noisy quantum processing experiments
K. Kechedzhi, S. Isakov, S. Mandrà +4 more·Jun 28, 2023
Today's experimental noisy quantum processors can compete with and surpass all known algorithms on state-of-the-art supercomputers for the computational benchmark task of Random Circuit Sampling [1-5]. Additionally, a circuit-based quantum simulation...
Efficient Sampling of Noisy Shallow Circuits Via Monitored Unraveling
Zihan Cheng, Matteo Ippoliti·Jun 28, 2023
We introduce a classical algorithm for sampling the output of shallow, noisy random circuits on two-dimensional qubit arrays. The algorithm builds on the recently-proposed"space-evolving block decimation"(SEBD) and extends it to the case of noisy cir...
Machine Learning based Noise Characterization and Correction on Neutral Atoms NISQ Devices
Ettore Canonici, Stefano Martina, R. Mengoni +2 more·Jun 27, 2023
Neutral atoms devices represent a promising technology using optical tweezers to geometrically arrange atoms and modulated laser pulses to control their quantum states. They are exploited as noisy intermediate‐scale quantum (NISQ) processors. Indeed,...
A framework of partial error correction for intermediate-scale quantum computers
Nikolaos Koukoulekidis, Samson Wang, Tom O'Leary +3 more·Jun 27, 2023
As quantum computing hardware steadily increases in qubit count and quality, one important question is how to allocate these resources to mitigate the effects of hardware noise. In a transitional era between noisy small-scale and fully fault-tolerant...
Hybrid noise protection of logical qubits for universal quantum computation
Zhao-Ming Wang, Feng-Hua Ren, M. Byrd +1 more·Jun 27, 2023
Quantum computers now show the promise of surpassing any possible classical machine. However, errors limit this ability and current machines do not have the ability to implement error correcting codes due to the limited number of qubits and limited c...
Fighting Noise with Noise: A Stochastic Projective Quantum Eigensolver
Maria-Andreea Filip·Jun 26, 2023
In the current noisy intermediate scale quantum era of quantum computation, available hardware is severely limited by both qubit count and noise levels, precluding the application of many current hybrid quantum-classical algorithms to nontrivial quan...
Noisy quantum trees: infinite protection without correction
S. A. Yadavalli, I. Marvian·Jun 25, 2023
We study quantum networks with tree structures, in which information propagates from a root to leaves. At each node in the network, the received qubit unitarily interacts with fresh ancilla qubits, after which each qubit is sent through a noisy chann...
Randomized compiling in fault-tolerant quantum computation
Stefanie J. Beale, Joel J. Wallman·Jun 23, 2023
Studies of quantum error correction (QEC) typically focus on stochastic Pauli errors because the existence of a threshold error rate below which stochastic Pauli errors can be corrected implies that there exists a threshold below which generic errors...
Optimization Tools for Distance-Preserving Flag Fault-Tolerant Error Correction
Bálint Pató, Theerapat Tansuwannont, Shilin Huang +1 more·Jun 22, 2023
Lookup-table decoding is fast and distance preserving, making it attractive for near-term quantum computer architectures with small-distance quantum error-correcting codes. In this work, we develop several optimization tools that can potentially redu...
Modelling non-Markovian noise in driven superconducting qubits
Abhishek Agarwal, Lachlan P. Lindoy, Deepesh Kumar Lall +2 more·Jun 22, 2023
Non-Markovian noise can be a significant source of errors in superconducting qubits. We develop gate sequences utilising mirrored pseudoidentities that allow us to characterise and model the effects of non-Markovian noise on both idle and driven qubi...
Practical limitations of quantum data propagation on noisy quantum processors
G. Saxena, A. Shalabi, T. Kyaw·Jun 22, 2023
The variational quantum imaginary time evolution algorithm is efficient in finding the ground state of a quantum Hamiltonian. This algorithm involves solving a system of linear equations in a classical computer and the solution is then used to propag...
Single-Shot Decoding of Good Quantum LDPC Codes
Shouzhen Gu, Eugene Tang, Libor Caha +3 more·Jun 21, 2023
Quantum Tanner codes constitute a family of quantum low-density parity-check codes with good parameters, i.e., constant encoding rate and relative distance. In this article, we prove that quantum Tanner codes also facilitate single-shot quantum error...
Trotter error bounds and dynamic multi-product formulas for Hamiltonian simulation
S. Zhuk, Niall F. Robertson, S. Bravyi·Jun 21, 2023
Multi-product formulas (MPFs) are linear combinations of Trotter circuits offering high-quality simulation of Hamiltonian time evolution with fewer Trotter steps. Here we report two contributions aimed at making multi-product formulas more viable for...
A Practical Overview of Quantum Computing: Is Exascale Possible?
J. Davenport, Jessica R. Jones, M. Thomason·Jun 21, 2023
Despite numerous advances in the field and a seemingly ever-increasing amount of investment, we are still some years away from seeing a production quantum computer in action. However, it is possible to make some educated guesses about the operational...
Quantum Advantage of Noisy Grover's Algorithm
Jian Leng, Fan Yang, Xiang-Bin Wang·Jun 19, 2023
Quantum advantage is the core of quantum computing. Grover's search algorithm is the only quantum algorithm with proven advantage to any possible classical search algorithm. However, realizing this quantum advantage in practice is quite challenging s...
Enabling High Performance Debugging for Variational Quantum Algorithms using Compressed Sensing
Tianyi Hao, Kun Liu, Swamit S. Tannu·Jun 17, 2023
Variational quantum algorithms (VQAs) can potentially solve practical problems using contemporary Noisy Intermediate Scale Quantum (NISQ) computers. VQAs find near-optimal solutions in the presence of qubit errors by classically optimizing a loss fun...
Variational quantum algorithms for machine learning: theory and applications
Stefano Mangini·Jun 16, 2023
This Ph.D. thesis provides a comprehensive review of the state-of-the-art in the field of Variational Quantum Algorithms and Quantum Machine Learning, including numerous original contributions. The first chapters are devoted to a brief summary of qua...
Navigating the 16-dimensional Hilbert space of a high-spin donor qudit with electric and magnetic fields
Irene Fernández de Fuentes, T. Botzem, M. A. Johnson +11 more·Jun 12, 2023
Efficient scaling and flexible control are key aspects of useful quantum computing hardware. Spins in semiconductors combine quantum information processing with electrons, holes or nuclei, control with electric or magnetic fields, and scalable coupli...