Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
An explicit tensor notation for quantum computing
Valentina Amitrano, F. Pederiva·Sep 16, 2024
This paper introduces a formalism that aims to describe the intricacies of quantum computation by establishing a connection with the mathematical foundations of tensor theory and multilinear maps. The focus is on providing a comprehensive representat...
Constructing Noise-Robust Quantum Gates via Pontryagin's Maximum Principle
Joshua Hanson, D. Lucarelli·Sep 15, 2024
Reliable quantum information technologies depend on precise actuation and techniques to mitigate the effects of un-desired disturbances such as environmental noise and imperfect calibration. In this work, we present a general framework based in geome...
Using Optimal Control to Guide Neural-Network Interpolation of Continuously-Parameterized Gates
Bikrant Bhattacharyya, Fredy An, Dominik Kozbiel +2 more·Sep 15, 2024
Control synthesis for continuously-parameterized families of quantum gates can enable critical advantages for mid-sized quantum computing applications in advance of fault-tolerance. We combine quantum optimal control with physics-informed machine lea...
On the Learning Abilities of Photonic Continuous-Variable Born Machines
Zoltán Kolarovszki, D'aniel T. R. Nagy, Zolt'an Zimbor'as·Sep 15, 2024
This paper investigates photonic continuous-variable Born machines (CVBMs), which utilize photonic quantum states as resources for continuous probability distributions. Implementing exact gradient descent in the CVBM training process is often infeasi...
Pursuing high-fidelity control of spin qubits in natural Si/SiGe quantum dot
Ning Wang, Shao-Min Wang, Runze Zhang +6 more·Sep 15, 2024
Electron spins in silicon quantum dots are a promising platform for fault-tolerant quantum computing. Low-frequency noise, including nuclear spin fluctuations and charge noise, is a primary factor limiting gate fidelities. Suppressing this noise is c...
Q-SCALE: Quantum Computing-Based Sensor Calibration for Advanced Learning and Efficiency
Lorenzo Bergadano, Andrea Ceschini, Pietro Chiavassa +4 more·Sep 15, 2024
In a world burdened by air pollution, the integration of state-of-the-art sensor calibration techniques utilizing Quantum Computing (QC) and Machine Learning (ML) holds promise for enhancing the accuracy and efficiency of air quality monitoring syste...
Benchmarking the performance of quantum computing software for quantum circuit creation, manipulation and compilation
P. Nation, A. Saki, Sebastian Brandhofer +4 more·Sep 13, 2024
We present Benchpress, a benchmarking suite for evaluating the performance and range of functionality of multiple quantum computing software development kits. This suite consists of a collection of over 1,000 tests measuring key performance metrics f...
Demonstration of Scully–Drühl-type quantum erasers on quantum computers
Bo-Hung Chen, Dah-Wei Chiou, Hsiu-Chuan Hsu·Sep 12, 2024
We present a novel quantum circuit that genuinely implements the Scully–Drühl-type delayed-choice quantum eraser, where the two recorders of the which-way information directly interact with the signal qubit and remain spatially separated. Experiments...
LightSABRE: A Lightweight and Enhanced SABRE Algorithm
H. Zou, Matthew Treinish, K. Hartman +2 more·Sep 12, 2024
We introduce LightSABRE, a significant enhancement of the SABRE algorithm that advances both runtime efficiency and circuit quality. LightSABRE addresses the increasing demands of modern quantum hardware, which can now accommodate complex scenarios, ...
Efficient state preparation for multivariate Monte Carlo simulation
Hitomi Mori, K. Mitarai, Keisuke Fujii·Sep 11, 2024
Quantum state preparation is a task to prepare a state with a specific function encoded in the amplitude, which is an essential subroutine in many quantum algorithms. In this paper, we focus on multivariate state preparation, as it is an important ex...
Quantum many-body simulation of finite-temperature systems with sampling a series expansion of a quantum imaginary-time evolution
Norifumi Matsumoto, Shoichiro Tsutsui, Yuya O. Nakagawa +5 more·Sep 11, 2024
Simulating thermal-equilibrium properties at finite temperature is crucial for studying quantum many-body systems. Quantum computers are expected to enable us to simulate large systems at finite temperatures, overcoming challenges faced by classical ...
Detect anomalous quartic gauge couplings at muon colliders with quantum kernel k-means
Shuai Zhang, Kebin Chen, Ji-Chong Yang·Sep 11, 2024
In recent years, with the increasing luminosities of colliders, handling the growing amount of data has become a major challenge for future New Physics (NP) phenomenological research. In order to improve efficiency, machine learning algorithms have b...
Deterministic generation of two-dimensional multi-photon cluster states
James O’Sullivan, K. Reuer, Aleksandr Grigorev +11 more·Sep 10, 2024
Multidimensional cluster states are a key resource for robust quantum communication, measurement-based quantum computing and quantum metrology. Here, we present a device capable of emitting large-scale entangled microwave photonic states in a two dim...
Tailoring the light-matter interaction for high-fidelity holonomic gate operations in multiple systems
Zhihuang Kang, Shutong Wu, Kunji Han +4 more·Sep 10, 2024
Realization of quantum computing requires the development of high-fidelity quantum gates that are resilient to decoherence, control errors, and environmental noise. While non-adiabatic holonomic quantum computation (NHQC) offers a promising approach,...
Quantum-State Texture and Gate Identification.
F. Parisio·Sep 10, 2024
We introduce and explore the notion of texture of an arbitrary quantum state, in a selected basis. In the first part of this Letter we develop a resource theory and show that state texture is adequately described by an easily computable monotone, whi...
Circuit optimization of qubit IC-POVMs for shadow estimation
Zhou You, Qing Liu, You Zhou·Sep 9, 2024
Extracting information from quantum systems is crucial in quantum physics and information processing. Methods based on randomized measurements, like shadow estimation, show advantages in effectively achieving such tasks. However, randomized measureme...
Universal quantum gate set for Gottesman–Kitaev–Preskill logical qubits
V. G. Matsos, C. Valahu, M. Millican +4 more·Sep 9, 2024
Conventional approaches towards creating a large-scale, fault-tolerant quantum computer require an error correction scheme that uses multiple physical qubits to encode one logical qubit of protected quantum information. A key limiting factor in reali...
Resource-Efficient Context-Aware Dynamical Decoupling Embedding for Arbitrary Large-Scale Quantum Algorithms
Paul Coote, Roman Dimov, Smarak Maity +3 more·Sep 9, 2024
We introduce and implement GraphDD: an efficient method for real-time, circuit-specific, optimal embedding of dynamical decoupling (DD) into executable quantum algorithms. We demonstrate that for an arbitrary quantum circuit, GraphDD exactly refocuse...
Quantum Wasserstein Compilation: Unitary Compilation using the Quantum Earth Mover's Distance
M. Richter, Abhishek Y. Dubey, A. Plinge +3 more·Sep 9, 2024
Despite advances in the development of quantum computers, the practical application of quantum algorithms requiring deep circuit depths or high-fidelity transformations remains outside the current range of the so-called noisy intermediate-scale quant...
Quantum Multiplexer Simplification for State Preparation
José Alex de Carvalho, Carlos A. Batista, Tiago M. L. de Veras +2 more·Sep 9, 2024
The initialization of quantum states or Quantum State Preparation (QSP) is a basic subroutine in quantum algorithms. In the worst case, general QSP algorithms are expensive due to the application of multi-controlled gates required to build the quantu...