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 algorithms for the simulation of perturbative QCD processes
Herschel A. Chawdhry, M. Pellen·Sep 12, 2023
Quantum computers are expected to give major speed-ups for the simulation of quantum systems. In these conference proceedings, we discuss quantum algorithms for the simulation of perturbative Quantum Chromodynamics (QCD) processes. In particular, we ...
Toward Consistent High-Fidelity Quantum Learning on Unstable Devices via Efficient In-Situ Calibration
Zhi-Yuan Hu, Robert Wolle, Mingzhen Tian +3 more·Sep 12, 2023
In the near-term noisy intermediate-scale quantum (NISQ) era, high noise will significantly reduce the fidelity of quantum computing. What's worse, recent works reveal that the noise on quantum devices is not stable, that is, the noise is dynamically...
Accelerating quantum optimal control of multi-qubit systems with symmetry-based Hamiltonian transformations
Xian Wang, M. Okyay, Anshuman Kumar +1 more·Sep 12, 2023
We present a novel, computationally efficient approach to accelerate quantum optimal control calculations of large multi-qubit systems used in a variety of quantum computing applications. By leveraging the intrinsic symmetry of finite groups, the Hil...
Quantum memories for squeezed and coherent superpositions in a driven-dissipative nonlinear oscillator
Adrià Labay-Mora, R. Zambrini, G. Giorgi·Sep 12, 2023
Quantum oscillators with nonlinear driving and dissipative terms have gained significant attention due to their ability to stabilize cat-states for universal quantum computation. Recently, superconducting circuits have been employed to realize such l...
Distributed Scheduling of Quantum Circuits with Noise and Time Optimization
Debasmita Bhoumik, Ritajit Majumdar, A. Saha +1 more·Sep 12, 2023
Quantum computers are currently noisy, particularly without error correction and fault tolerance. Methods like error suppression and mitigation are widely used to improve performance. Circuit cutting, which partitions a circuit into smaller subcircui...
Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms
Alejandro Mata Ali, Iñigo Perez Delgado, Marina Ristol Roura +1 more·Sep 11, 2023
We present two algorithms to initialize layers of tensorized neural networks and general tensor network algorithms using partial computations of their Frobenius norms and positive lineal entrywise sums, depending on the type of tensor network involve...
Solving Systems of Linear Equations: HHL from a Tensor Networks Perspective
Alejandro Mata Ali, Iñigo Pérez Delgado, Marina Ristol Roura +2 more·Sep 11, 2023
This work presents a new approach for simulating the HHL linear systems of equations solver algorithm with tensor networks. First, a novel HHL in the qudits formalism, the generalization of qubits, is developed, and then its operations are transforme...
Performance of Commercial Quantum Annealing Solvers for the Capacitated Vehicle Routing Problem
Salvatore Sinno, Thomas Groß, Alan Mott +4 more·Sep 11, 2023
Quantum annealing (QA) is a heuristic search algorithm that can run on Adiabatic Quantum Computation (AQC) processors to solve combinatorial optimization problems. Although theoretical studies and simulations on classic hardware have shown encouragin...
A Review of the Applications of Quantum Machine Learning in Optical Communication Systems
Ark Modi, Alonso Viladomat Jasso, R. Ferrara +4 more·Sep 11, 2023
In the context of optical signal processing, quantum and quantum-inspired machine learning algorithms have massive potential for deployment. One of the applications is in error correction protocols for the received noisy signals. In some scenarios, n...
Near-term distributed quantum computation using mean-field corrections and auxiliary qubits
A. Gomez, T. Patti, Anima Anandkumar +1 more·Sep 11, 2023
Distributed quantum computation is often proposed to increase the scalability of quantum hardware, as it reduces cooperative noise and requisite connectivity by sharing quantum information between distant quantum devices. However, such exchange of qu...
Classification of Quantum Computer Fault Injection Attacks
Chuan Xu, Ferhat Erata, Jakub Szefer·Sep 11, 2023
The rapid growth of interest in quantum computing has brought about the need to secure these powerful machines against a range of physical attacks. As qubit counts increase and quantum computers achieve higher levels of fidelity, their potential to e...
Proof-of-Concept Quantum Simulator Based on Molecular Spin Qudits
S. Chicco, G. Allodi, A. Chiesa +6 more·Sep 11, 2023
The use of d-level qudits instead of two-level qubits can largely increase the power of quantum logic for many applications, ranging from quantum simulations to quantum error correction. Magnetic molecules are ideal spin systems to realize these larg...
A real-time, scalable, fast and resource-efficient decoder for a quantum computer
Ben Barber, Kenton M. Barnes, Tomasz Bialas +10 more·Sep 11, 2023
The development of quantum computers will require the careful management of the noise effects associated with qubit performance. However, the decoders responsible for diagnosing noise-induced computational errors must use resources efficiently to ena...
Incentivizing Demand-Side Response Through Discount Scheduling Using Hybrid Quantum Optimization
David Bucher, Jonas Nusslein, Corey O’Meara +5 more·Sep 11, 2023
Demand-side response (DSR) is a strategy that enables consumers to actively participate in managing electricity demand. It aims to alleviate strain on the grid during high demand and promote a more balanced and efficient use of (renewable) electricit...
General tensor network theory for frustrated classical spin models in two dimensions
Fengmin Song, Tong-Yu Lin, Guang-Ming Zhang·Sep 11, 2023
Frustration is a ubiquitous phenomenon in many-body physics that influences the nature of the system in a profound way with exotic emergent behavior. Despite its long research history, the analytical or numerical investigations on frustrated spin mod...
Commuting Local Hamiltonian Problem on 2D Beyond Qubits
Sandy Irani, Jiaqing Jiang·Sep 10, 2023
We study the complexity of local Hamiltonians in which the terms pairwise commute. Commuting local Hamiltonians (CLHs) provide a way to study the role of non-commutativity in the complexity of quantum systems and touch on many fundamental aspects of ...
Superstaq: Deep Optimization of Quantum Programs
Colin Campbell, F. Chong, Denny Dahl +21 more·Sep 10, 2023
We describe Superstaq, a quantum software platform that optimizes the execution of quantum programs by tailoring to underlying hardware primitives. For benchmarks such as the Bernstein-Vazirani algorithm and the Qubit Coupled Cluster chemistry method...
Uncloneable Quantum Advice
Anne Broadbent, M. Karvonen, Sébastien Lord·Sep 10, 2023
The famous no-cloning principle has been shown recently to enable a number of uncloneable cryptographic primitives, including the copy-protection of certain functionalities. Here we address for the first time unkeyed quantum uncloneablity, via the st...
Experimental topological quantum computing with electric circuits
Deyuan Zou, Naiqiao Pan, Tian Chen +2 more·Sep 9, 2023
The key obstacle to the realization of a scalable quantum computer is overcoming environmental and control errors. Topological quantum computation has attracted great attention because it has emerged as one of the most promising approaches to solving...
Fast Simulation of High-Depth QAOA Circuits
Danylo Lykov, Ruslan Shaydulin, Yue Sun +2 more·Sep 9, 2023
Until high-fidelity quantum computers with a large number of qubits become widely available, classical simulation remains a vital tool for algorithm design, tuning, and validation. We present a simulator for the Quantum Approximate Optimization Algor...