Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Mitigating controller noise in quantum gates using optimal control theory
Aviv Aroch, R. Kosloff, S. Kallush·Sep 14, 2023
All quantum systems are subject to noise from the environment or external controls. This noise is a major obstacle to the realization of quantum technology. For example, noise limits the fidelity of quantum gates. Employing optimal control theory, we...
Overhead-constrained circuit knitting for variational quantum dynamics
G. Gentinetta, Friederike Metz, Giuseppe Carleo·Sep 14, 2023
Simulating the dynamics of large quantum systems is a formidable yet vital pursuit for obtaining a deeper understanding of quantum mechanical phenomena. While quantum computers hold great promise for speeding up such simulations, their practical appl...
All you need is spin: SU(2) equivariant variational quantum circuits based on spin networks
Richard D. P. East, Guillermo Alonso-Linaje, Chae-Yeun Park·Sep 13, 2023
Variational algorithms require architectures that naturally constrain the optimization space to run efficiently. Geometric quantum machine learning achieves this goal by encoding group structure into parameterized quantum circuits to include the symm...
Entanglement of Sections: The pushout of entangled and parameterized quantum information
Hisham Sati, Urs Schreiber·Sep 13, 2023
A question raised by Freedman & Hastings (2023) still stands: To produce a mathematical theory that would unify quantum entanglement/tensor-structure with parameterized/bundle-structure via their amalgamation (a hypothetical pushout) along bare quant...
Fast Flux-Activated Leakage Reduction for Superconducting Quantum Circuits.
N. Lacroix, Luca Hofele, A. Remm +14 more·Sep 13, 2023
Quantum computers will require quantum error correction to reach the low error rates necessary for solving problems that surpass the capabilities of conventional computers. One of the dominant errors limiting the performance of quantum error correcti...
Analysis of Superconducting Qubit Layouts Using InductEx
Sean Crowe, Benjamin J. Taylor, Nicholas B. Ferrante +2 more·Sep 13, 2023
InductEx [1] is a software tool used for the analysis of integrated circuit designs and extraction of design parameters by way of numerical electromagnetic field solving. This tool was originally developed with Rapid Single Flux Quantum (RSFQ) chips ...
Predicting Expressibility of Parameterized Quantum Circuits Using Graph Neural Network
Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy +2 more·Sep 13, 2023
Parameterized Quantum Circuits (PQCs) are essential to quantum machine learning and optimization algorithms. The expressibility of PQCs, which measures their ability to represent a wide range of quantum states, is a critical factor influencing their ...
Interconnect Fabrics for Multi-Core Quantum Processors: A Context Analysis
Pau Escofet, Sahar Ben Rached, Santiago Rodrigo +3 more·Sep 13, 2023
Quantum computing has revolutionized the field of computer science with its extraordinary ability to handle classically intractable problems. To realize its potential, however, quantum computers need to scale to millions of qubits, a feat that will r...
Parity Measurements using Dispersive Shifts for Surface Codes
Aneirin J. Baker·Sep 13, 2023
Parity measurements are central to quantum error correction (QEC). In current implementations measurements of stabilizers are performed using a number of Controlled Not (CNOT) gates. This implementation suffers from an exponential decrease in fidelit...
Quantum computation of thermal averages for a non-Abelian D4 lattice gauge theory via quantum Metropolis sampling
Edoardo Ballini, Giuseppe Clemente, M. D’Elia +2 more·Sep 13, 2023
In this paper, we show the application of the Quantum Metropolis Sampling (QMS) algorithm to a toy gauge theory with discrete non-Abelian gauge group $D_4$ in (2+1)-dimensions, discussing in general how some components of hybrid quantum-classical alg...
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...