Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
28,891
This Month
551
Today
0
Research Volume
13,884 papers in 12 months (-10% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Lower T-count with faster algorithms
Vivien Vandaele·Jul 11, 2024
Among the cost metrics characterizing a quantum circuit, the T-count stands out as one of the most crucial as its minimization is particularly important in various areas of quantum computation such as fault-tolerant quantum computing and quantum circ...
XYZ Ruby Code: Making a Case for a Three-Colored Graphical Calculus for Quantum Error Correction in Spacetime
J. M. D. L. Fuente, Josias Old, Alex Townsend-Teague +3 more·Jul 11, 2024
Analyzing and developing new quantum error-correcting (QEC) schemes is one of the most prominent tasks in quantum computing research. In such efforts, introducing time dynamics explicitly in both analysis and design of error-correcting protocols cons...
Reducing the resources required by ADAPT-VQE using coupled exchange operators and improved subroutines
Mafalda Ramôa, P. Anastasiou, Luis Paulo Santos +3 more·Jul 11, 2024
Adaptive variational quantum algorithms arguably offer the best prospects for quantum advantage in the Noisy Intermediate-Scale Quantum era. Since the inception of the first such algorithm, the Adaptive Derivative-Assembled Problem-Tailored Variation...
Finding quantum codes via Riemannian optimization
Miguel Casanova, Kentaro Ohki, Francesco Ticozzi·Jul 11, 2024
We propose a novel optimization scheme designed to find optimally correctable subspace codes for a known quantum noise channel. To each candidate subspace code we first associate a universal recovery map, as if the code was perfectly correctable, and...
Predicting properties of quantum systems by regression on a quantum computer
A. Kardashin, Yerassyl Balkybek, V. V. Palyulin +1 more·Jul 11, 2024
Quantum computers can be considered as a natural means for performing machine learning tasks for inherently quantum labeled data. Many quantum machine learning techniques have been developed for solving classification problems, such as distinguishing...
Approximate Unitary $k$-Designs from Shallow, Low-Communication Circuits
Nicholas LaRacuente, Felix Leditzky·Jul 10, 2024
Random unitaries are useful in quantum information and related fields, but hard to generate with limited resources. An approximate unitary $k$-design is an ensemble of unitaries with an underlying measure over which the average is close to a Haar ran...
Quantum Algorithm to Prepare Quasi-Stationary States
Samuel J. Garratt, Soonwon Choi·Jul 10, 2024
Quantum dynamics can be analyzed via the structure of energy eigenstates. However, in the many-body setting, preparing eigenstates associated with finite temperatures requires time scaling exponentially with system size. In this work we present an ef...
Entanglement of photonic modes from a continuously driven two-level system
Jiaying Yang, Ingrid Strandberg, Alejandro Vivas-Viaña +7 more·Jul 10, 2024
The ability to generate entangled states of light is a key primitive for quantum communication and distributed quantum computation. Continuously driven sources, including those based on spontaneous parametric downconversion, are usually probabilistic...
Scalable, high-fidelity all-electronic control of trapped-ion qubits
C. Loschnauer, J. M. Toba, A. C. Hughes +10 more·Jul 10, 2024
The central challenge of quantum computing is implementing high-fidelity quantum gates at scale. However, many existing approaches to qubit control suffer from a scale-performance trade-off, impeding progress towards the creation of useful devices. H...
An application of continuous-variable gate synthesis to quantum simulation of classical dynamics
S. Cochran, James Stokes, P. Jayakumar +1 more·Jul 10, 2024
Although quantum computing holds promise to accelerate a wide range of computational tasks, the quantum simulation of quantum dynamics as originally envisaged by Feynman remains the most promising candidate for achieving quantum advantage. A less exp...
Spin/Phonon Dynamics in Single Molecular Magnets: I. quantum embedding
Nosheen Younas, Yu Zhang, Andrei Piryatinski +1 more·Jul 10, 2024
Single molecular magnets (SMMs) and Metal-Organic Frameworks (MOFs) attract significant interest due to their potential in quantum information processing, scalable quantum computing, and extended lifetimes and coherence times. The limiting factor in ...
Information dynamics in decohered quantum memory with repeated syndrome measurements: a dual approach
Jacob Hauser, Yimu Bao, Shengqi Sang +3 more·Jul 10, 2024
Measurements can detect errors in a decohered quantum memory allowing active error correction to increase the memory time. Previous understanding of this mechanism has focused on evaluating the performance of error correction algorithms based on meas...
Optimal number of parametrized rotations and Hadamard gates in parametrized Clifford circuits with non-repeated parameters
Vivien Vandaele, S. Perdrix, Christophe Vuillot·Jul 10, 2024
We present an efficient algorithm to reduce the number of non-Clifford gates in quantum circuits and the number of parametrized rotations in parametrized quantum circuits. The method consists in finding rotations that can be merged into a single rota...
Towards Efficient Quantum Computation of Molecular Ground State Energies using Bayesian Optimization with Priors over Surface Topology
Farshud Sorourifar, M. Rouabah, N. Belaloui +6 more·Jul 10, 2024
Variational Quantum Eigensolvers (VQEs) represent a promising approach to computing molecular ground states and energies on modern quantum computers. These approaches use a classical computer to optimize the parameters of a trial wave function, while...
Quantum and classical algorithms for nonlinear unitary dynamics
Noah Brustle, Nathan Wiebe·Jul 10, 2024
Quantum algorithms for Hamiltonian simulation and linear differential equations more generally have provided promising exponential speed-ups over classical computers on a set of problems with high real-world interest. However, extending this to a non...
Scalable Improvement of the Generalized Toffoli Gate Realization Using Trapped-Ion-Based Qutrits.
Anastasiia S. Nikolaeva, I. Zalivako, A. Borisenko +8 more·Jul 10, 2024
An efficient implementation of the Toffoli gate is of conceptual importance for running various quantum algorithms, including Grover's search and Shor's integer factorization. However, direct implementation of the Toffoli gate either entails a prohib...
Quantum circuit refrigerator based on quantum dots coupled to normal-metal and superconducting electrodes
S. Tabatabaei, Neda Jahangiri·Jul 10, 2024
In quantum dot junctions capacitively coupled to a resonator, electron tunneling through the quantum dot can be used to transfer heat between different parts of the system. This includes cooling or heating the electrons in electrodes and absorbing or...
MagicPool: Dealing with Magic State Distillation Failures on Large-Scale Fault-Tolerant Quantum Computer
Yutaka Hirano, Yasunari Suzuki, Keisuke Fujii·Jul 10, 2024
Magic state distillation, which is a probabilistic process used to generate magic states, plays an important role in universal fault-tolerant quantum computers. On the other hand, to solve interesting problems, we need to run complex programs on faul...
Transforming qubits via quasi-geometric approaches
Nyirahafashimana Valentine, Nurisya Mohd Shah, Umair Abdul Halim +2 more·Jul 10, 2024
We develop a theory based on quasi-geometric (QG) approach to transform a small number of qubits into a larger number of error-correcting qubits by considering four different cases. More precisely, we use the 2-dimensional quasi-orthogonal complete c...
Unsupervised beyond-standard-model event discovery at the LHC with a novel quantum autoencoder
Callum Duffy, Mohammad Hassanshah, Marcin Jastrzębski +1 more·Jul 10, 2024
This study explores the potential of unsupervised anomaly detection for identifying physics beyond the standard model that may appear at proton collisions at the Large Hadron Collider. We introduce a novel quantum autoencoder circuit ansatz that is s...