Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Contextual Subspace Auxiliary-Field Quantum Monte Carlo: Improved Bias with Reduced Quantum Resources.
Matthew Kiser, Matthias Beuerle, F. Šimkovic·Aug 12, 2024
Using trial wave functions prepared on quantum devices to reduce the bias of auxiliary-field quantum Monte Carlo (QC-AFQMC) has established itself as a promising hybrid approach to the simulation of strongly correlated many body systems. Here, we fur...
Three-parameter symmetric quantum joint measurement on two qubits
Ying-Qiu He, Dong Ding, Ting Gao +2 more·Aug 12, 2024
A standard two-qubit joint measurement is the well-known Bell state measurement (BSM), in which each reduced state (traced out one qubit) is the completely mixed state. Recently, a novel quantum joint measurement named elegant joint measurement (EJM)...
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks
Andrea Ceschini, Francesco Mauro, Francesca De Falco +7 more·Aug 12, 2024
Quantum Graph Neural Networks (QGNNs) represent a novel fusion of quantum computing and Graph Neural Networks (GNNs), aimed at overcoming the computational and scalability challenges inherent in classical GNNs that are powerful tools for analyzing da...
Out of the Loop: Structural Approximation of Optimisation Landscapes and non-Iterative Quantum Optimisation
Tom Krüger, Wolfgang Mauerer·Aug 12, 2024
The Quantum Approximate Optimisation Algorithm (QAOA) is a widely studied quantum-classical iterative heuristic for combinatorial optimisation. While QAOA targets problems in complexity class NP, the classical optimisation procedure required in every...
Measuring central charge on a universal quantum processor
Nazlı Uğur Köylüoğlu, Swarnadeep Majumder, M. Amico +5 more·Aug 12, 2024
Central charge is a fundamental quantity in conformal field theories (CFT), and plays a crucial role in determining universality classes of critical points in two-dimensional systems. Despite its significance, the measurement of central charge has re...
Construction of channels which in every dimension anti-degrade the depolarizing channel
Shayan Roofeh, Vahid Karimipour·Aug 11, 2024
We consider the depolarizing channel in $d$ dimension defined as $D_x(ρ)=(1-x)ρ+x\: \textit{tr}(ρ) \frac{I}{d}$, and explicitly find a quantum channel ${\cal N}_x$ which anti-degrades this, when $x\geq\frac{1}{2}$. This proves that the depolarizing c...
3-SAT solver for two-way quantum computers
Jarek Duda·Aug 11, 2024
While quantum computers assume existence of state preparation process $|0\rangle$, CPT symmetry of physics says that performing such process in CPT symmetry perspective, e.g. reversing used EM impulses ($V(t)\to V(-t)$), we should get its symmetric a...
Moderate exponential-time quantum dynamic programming across the subsets for scheduling problems
Camille Grange, Michael Poss, E. Bourreau +2 more·Aug 11, 2024
Grover Search is currently one of the main quantum algorithms leading to hybrid quantum-classical methods that reduce the worst-case time complexity for some combinatorial optimization problems. Specifically, the combination of Quantum Minimum Findin...
Optimal Overlapping Tomography
Kiara Hansenne, Rui Qu, Lisa T. Weinbrenner +7 more·Aug 11, 2024
Characterising large-scale quantum systems is central to fundamental physics and essential for applications of quantum technologies. While a full characterisation requires exponentially increasing resources, focusing on application-relevant informati...
SuperEncoder: Towards Universal Neural Approximate Quantum State Preparation
Yilun Zhao, Bingmeng Wang, Wenle Jiang +4 more·Aug 10, 2024
Numerous quantum algorithms operate under the assumption that classical data has already been converted into quantum states, a process termed Quantum State Preparation (QSP). However, achieving precise QSP requires a circuit depth that scales exponen...
Pauli Flow on Open Graphs with Unknown Measurement Labels
Piotr Mitosek·Aug 10, 2024
One-way quantum computation, or measurement-based quantum computation, is a universal model of quantum computation alternative to the circuit model. The computation progresses by measurements of a pre-prepared resource state together with corrections...
Quantum Algorithms for Compositional Text Processing
Tuomas Laakkonen, K. Meichanetzidis, Bob Coecke·Aug 10, 2024
Quantum computing and AI have found a fruitful intersection in the field of natural language processing. We focus on the recently proposed DisCoCirc framework for natural language, and propose a quantum adaptation, QDisCoCirc. This is motivated by a ...
Dynamic Resource Allocation with Quantum Error Detection
Joshua Gao, Ji Liu, A. Gonzales +3 more·Aug 10, 2024
Quantum processing units (QPUs) are highly heterogeneous in terms of physical qubit performance. To add even more complexity, drift in quantum noise landscapes has been well-documented. This makes resource allocation a challenging problem whenever a ...
Efficient Quantum Gradient and Higher-Order Derivative Estimation Via Generalized Hadamard Test
Dantong Li, Dikshant Dulal, Mykhailo Ohorodnikov +2 more·Aug 10, 2024
In the context of Noisy Intermediate-Scale Quantum (NISQ) computing, parameterized quantum circuits (PQCs) are a promising paradigm for quantum sensing, optimal control, optimization, and machine learning on near-term quantum hardware. Gradient-based...
Fault-tolerant quantum input/output
Matthias Christandl, Omar Fawzi, Ashutosh Goswami·Aug 9, 2024
Usual scenarios of fault-tolerant computation are concerned with the fault-tolerant realization of quantum algorithms that compute classical functions, such as Shor's algorithm for factoring. In particular, this means that input and output to the qua...
Passive error correction with a qubit-oscillator system in noisy environment
Yanzhang Zhu, Myung-Joong Hwang·Aug 9, 2024
In this paper, we study an open quantum system consisting of a qubit coupled to a harmonic oscillator subject to two-photon relaxation and demonstrate that such a system can be utilized to construct a cat qubit capable of passive error correction. To...
Optimizing Pulse Shapes of an Echoed Conditional Displacement Gate in a Superconducting Bosonic System
Maxime Lapointe-Major, Yongchao Tang, M. Canturk +1 more·Aug 9, 2024
Echoed conditional displacement (ECD) gates for bosonic systems have become the key element for real-time quantum error correction beyond the break-even point. These gates are characterized by a single complex parameter $\beta$, and can be constructe...
Concept learning of parameterized quantum models from limited measurements
Beng Yee Gan, Po-Wei Huang, Elies Gil-Fuster +1 more·Aug 9, 2024
Classical learning of the expectation values of observables for quantum states is a natural variant of learning quantum states or channels. While learning-theoretic frameworks establish the sample complexity and the number of measurement shots per sa...
Constant-time quantum search with a many-body quantum system
Benjamin DalFavero, Alexander Meill, David A. Meyer +2 more·Aug 9, 2024
The optimal runtime of a quantum computer searching a database is typically cited as the square root of the number of items in the database, which is famously achieved by Grover's algorithm. With parallel oracles, however, it is possible to search fa...
Learning symmetry-protected topological order from trapped-ion experiments
Nicolas Sadoune, Ivan Pogorelov, C. Edmunds +6 more·Aug 9, 2024
Classical machine learning has proven remarkably useful in post-processing quantum data, yet typical learning algorithms often require prior training to be effective. In this work, we employ a tensorial kernel support vector machine (TK-SVM) to analy...