Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum Advantage Actor-Critic for Reinforcement Learning
Michael Kolle, Mohamad Hgog, Fabian Ritz +4 more·Jan 13, 2024
Quantum computing offers efficient encapsulation of high-dimensional states. In this work, we propose a novel quantum reinforcement learning approach that combines the Advantage Actor-Critic algorithm with variational quantum circuits by substituting...
Quantum computing for simulation of fluid dynamics
Claudio Sanavio, Sauro Succi·Jan 13, 2024
We present a pedagogical introduction to a series of quantum computing algorithms for the simulation of classical fluids, with special emphasis on the Carleman-Lattice Boltzmann method.
Graph representation learning for parameter transferability in quantum approximate optimization algorithm
Jose Falla, Q. Langfitt, Yuri Alexeev +1 more·Jan 12, 2024
The quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization. Optimal QAOA parameter concentration effects for special MaxCut problem...
Optimized Noise Suppression for Quantum Circuits
Friedrich Wagner, Daniel J. Egger, F. Liers·Jan 12, 2024
Quantum computation promises to advance a wide range of computational tasks. However, current quantum hardware suffers from noise and is too small for error correction. Thus, accurately utilizing noisy quantum computers strongly relies on noise chara...
A Joint Code and Belief Propagation Decoder Design for Quantum LDPC Codes
Sisi Miao, Jonathan Mandelbaum, Holger Jaekel +1 more·Jan 12, 2024
Quantum low-density parity-check (QLDPC) codes are among the most promising candidates for future quantum error correction schemes. However, a limited number of short to moderate-length QLDPC codes have been designed and their decoding performance is...
Covert Quantum Communication Over Optical Channels
Evan J. D. Anderson, Christopher K. Eyre, Isabel M. Dailey +2 more·Jan 12, 2024
We explore covert communication of qubits over the lossy thermal-noise bosonic channel, which is a quantum-mechanical model of many practical channels, including optical. Covert communication ensures that an adversary is unable to detect the presence...
Complexity Classification of Product State Problems for Local Hamiltonians
John Kallaugher, Ojas Parekh, Kevin Thompson +2 more·Jan 12, 2024
Product states, unentangled tensor products of single qubits, are a ubiquitous ansatz in quantum computation, including for state-of-the-art Hamiltonian approximation algorithms. A natural question is whether we should expect to efficiently solve pro...
An Efficient and Scalable Clocking Assignment Algorithm for Multi-Threaded Multi-Phase Single Flux Quantum Circuits
Robert S. Aviles, Xi Li, Lei Lu +2 more·Jan 12, 2024
This paper proposes an approximation algorithm for clocking assignments that minimizes the insertion of path balancing DFFs for multi-threaded multi-phase clocking of SFQ circuits. Existing SFQ multi-phase clocking solutions have been shown to effect...
Simulating Quantum Systems with NWQ-Sim on HPC
In-Saeng Suh, Ang Li·Jan 12, 2024
NWQ-Sim is a cutting-edge quantum system simulation environment designed to run on classical multi-node, multi-CPU/GPU heterogeneous HPC systems. In this work, we provide a brief overview of NWQ-Sim and its implementation in simulating quantum circui...
Quantum eigenvalue processing
Guang Hao Low, Yuan Su·Jan 11, 2024
Many problems in linear algebra -- such as those arising from non-Hermitian physics and differential equations -- can be solved on a quantum computer by processing eigenvalues of the non-normal input matrices. However, the existing Quantum Singular V...
State of practice: evaluating GPU performance of state vector and tensor network methods
Marzio Vallero, Flavio Vella, Paolo Rech·Jan 11, 2024
The frontier of quantum computing (QC) simulation on classical hardware is quickly reaching the hard scalability limits for computational feasibility. Nonetheless, there is still a need to simulate large quantum systems classically, as the Noisy Inte...
Quantum Kernel Machine Learning With Continuous Variables
Laura J. Henderson, R. Goel, Sally Shrapnel·Jan 11, 2024
The popular qubit framework has dominated recent work on quantum kernel machine learning, with results characterising expressivity, learnability and generalisation. As yet, there is no comparative framework to understand these concepts for continuous...
Advantage of Quantum Neural Networks as Quantum Information Decoders
Weishun Zhong, O. Shtanko, R. Movassagh·Jan 11, 2024
A promising strategy to protect quantum information from noise-induced errors is to encode it into the low-energy states of a topological quantum memory device. However, readout errors from such memory under realistic settings is less understood. We ...
Geodesic algorithm for unitary gate design with time-independent Hamiltonians
D. Lewis, R. Wiersema, J. Carrasquilla +1 more·Jan 11, 2024
Larger multiqubit quantum gates allow shallower, more efficient quantum circuits, which could decrease the prohibitive effect of noise on algorithms for noisy intermediate-scale quantum (NISQ) devices and fault-tolerant error correction schemes. Such...
A new "gold standard": Perturbative triples corrections in unitary coupled cluster theory and prospects for quantum computing.
Zachary W. Windom, Daniel Claudino, R. J. Bartlett·Jan 11, 2024
A major difficulty in quantum simulation is the adequate treatment of a large collection of entangled particles, synonymous with electron correlation in electronic structure theory, with coupled cluster (CC) theory being the leading framework for dea...
Interface-Driven Peptide Folding: Quantum Computations on Simulated Membrane Surfaces
Daniel Conde-Torres, Mariamo Mussa-Juane, Daniel Fa'ilde +3 more·Jan 10, 2024
Antimicrobial peptides (AMPs) play important roles in cancer, autoimmune diseases, and aging. A critical aspect of AMP functionality is their targeted interaction with pathogen membranes, which often possess altered lipid compositions. Designing AMPs...
Quantum Time-Space Tradeoffs for Matrix Problems
P. Beame, Niels Kornerup, Michael Whitmeyer·Jan 10, 2024
We prove lower bounds on the time and space required for quantum computers to solve a wide variety of problems involving matrices, many of which have only been analyzed classically in prior work. Using a novel way of applying recording query methods ...
Efficient and Robust Parameter Optimization of the Unitary Coupled-Cluster Ansatz.
Weitang Li, Yufei Ge, Shi-Xin Zhang +2 more·Jan 10, 2024
The variational quantum eigensolver (VQE) framework has been instrumental in advancing near-term quantum algorithms. However, parameter optimization remains a significant bottleneck for VQE, requiring a large number of measurements for successful alg...
Comparing Classical and Quantum Ground State Preparation Heuristics
Katerina Gratsea, Jakob S. Kottmann, Peter D. Johnson +1 more·Jan 10, 2024
One promising field of quantum computation is the simulation of quantum systems, and specifically, the task of ground state energy estimation (GSEE). Ground state preparation (GSP) is a crucial component in GSEE algorithms, and classical methods like...
Machine-learning optimal control pulses in an optical quantum memory experiment
Elizabeth Robertson, Luisa Esguerra, Leon Meßner +2 more·Jan 10, 2024
Efficient optical quantum memories are a milestone required for several quantum technologies including repeater-based quantum key distribution and on-demand multi-photon generation. We present an efficiency optimization of an optical electromagnetica...