Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
31,132
This Month
1,153
Today
0
Research Volume
15,339 papers in 12 months (-9% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Enabling Quantum Natural Language Processing for Hindi Language
Naman Srivastava, Gaurang Belekar, Sunil Saumya +1 more·Dec 2, 2023
Quantum Natural Language Processing (QNLP) is taking huge leaps in solving the shortcomings of classical Natural Language Processing (NLP) techniques and moving towards a more"Explainable"NLP system. The current literature around QNLP focuses primari...
Provable bounds for noise-free expectation values computed from noisy samples
S.V. Barron, Daniel J. Egger, Elijah Pelofske +4 more·Dec 1, 2023
Quantum computing has emerged as a powerful computational paradigm capable of solving problems beyond the reach of classical computers. However, today’s quantum computers are noisy, posing challenges to obtaining accurate results. Here, we explore th...
Black-Litterman Portfolio Optimization with Noisy Intermediate-Scale Quantum Computers
Chi-Chun Chen, San‐Lin Chung, H. Goan·Dec 1, 2023
In this work, we demonstrate a practical application of noisy intermediate-scale quantum (NISQ) algorithms to enhance subroutines in the Black-Litterman (BL) portfolio optimization model. As a proof of concept, we implement a 12-qubit example for sel...
Qubits, entangled states, and quantum gates realized on a set of classical pendulums
A. Nenashev, F. Gebhard, K. Meerholz +1 more·Dec 1, 2023
Here we show that the concepts behind such terms as entanglement, qubits, quantum gates, quantum error corrections, unitary time evolution etc., which are usually ascribed to quantum systems, can be adequately realized on a set of coupled classical p...
Quantum Multiple Kernel Learning in Financial Classification Tasks
S. Miyabe, Brian Quanz, Noriaki Shimada +11 more·Dec 1, 2023
Financial services is a prospect industry where unlocked near-term quantum utility could yield profitable potential, and, in particular, quantum machine learning algorithms could potentially benefit businesses by improving the quality of predictive m...
Quantum Kernel t-Distributed Stochastic Neighbor Embedding
Yoshiaki Kawase, K. Mitarai, Keisuke Fujii·Dec 1, 2023
Data visualization is important in understanding the characteristics of data that are difficult to see directly. It is used to visualize loss landscapes and optimization trajectories to analyze optimization performance. Popular optimization analysis ...
Quantum Circuit for Random Forest Prediction
Liliya Safina, K. Khadiev, I. Zinnatullin +1 more·Dec 1, 2023
In this work, we present a quantum circuit for a binary classification prediction algorithm using a random forest model. The quantum prediction algorithm is presented in our previous works. We construct a circuit and implement it using qiskit tools (...
Robustness of quantum chaos and anomalous relaxation in open quantum circuits
Takato Yoshimura, Lucas S'a·Dec 1, 2023
Dissipation is a ubiquitous phenomenon that affects the fate of chaotic quantum many-body dynamics. Here, we show that chaos can be robust against dissipation but can also assist and anomalously enhance relaxation. We compute exactly the dissipative ...
Probing off-diagonal eigenstate thermalization with tensor networks
Maxine Luo, Rahul Trivedi, M. Bañuls +1 more·Dec 1, 2023
Energy filter methods in combination with quantum simulation can efficiently access the properties of quantum many-body systems at finite energy densities [Lu et al. PRX Quantum 2, 020321 (2021)]. Classically simulating this algorithm with tensor net...
Towards Transparency in Coreference Resolution: A Quantum-Inspired Approach
Hadi Wazni, M. Sadrzadeh·Dec 1, 2023
Guided by grammatical structure, words compose to form sentences, and guided by discourse structure, sentences compose to form dialogues and documents. The compositional aspect of sentence and discourse units is often overlooked by machine learning a...
Exploiting Maximally Mixed States for Spectral Estimation by Time Evolution
Kaelyn Ferris, Zihang Wang, I. Hen +3 more·Dec 1, 2023
We introduce a novel approach for estimating the spectrum of quantum many-body Hamiltonians, and more generally, of Hermitian operators, using quantum time evolution. In our approach we are evolving a maximally mixed state under the Hamiltonian of in...
Applying an Evolutionary Algorithm to Minimize Teleportation Costs in Distributed Quantum Computing
Leo Sünkel, Manik Dawar, Thomas Gabor·Nov 30, 2023
By connecting multiple quantum computers (QCs) through classical and quantum channels, a quantum communication network can be formed. This gives rise to new applications such as blind quantum computing, distributed quantum computing, and quantum key ...
Pancreatic Cancer Data Classification with Quantum Machine Learning
Mark Levin·Nov 30, 2023
Quantum algorithms for unstructured search problems rely on the preparation of a uniform superposition, traditionally achieved through Hadamard gates. However, this incidentally creates an auxiliary search space consisting of nonsensical answers that...
CAMEL: Physically Inspired Crosstalk-Aware Mapping and Gate Scheduling for Frequency-Tunable Quantum Chips
Bingkun Lu, Peng Wang, Zhao-Yun Chen +5 more·Nov 30, 2023
Crosstalk poses a significant challenge in quantum computing, particularly when quantum gates are executed in parallel, as qubit frequency resonance can lead to residual coupling and reduced gate fidelity. Current solutions struggle to mitigate both ...
Quantum simulations for strong-field QED
Luis Hidalgo, Patrick Draper·Nov 30, 2023
Quantum field theory in the presence of strong background fields contains interesting problems where quantum computers may someday provide a valuable computational resource. In the NISQ era it is useful to consider simpler benchmark problems in order...
Testing and Debugging Quantum Circuits
Sara Ayman Metwalli, Rodney Van Meter·Nov 30, 2023
This article introduces a process framework for debugging quantum circuits, focusing on three distinct types of circuit blocks: amplitude–permutation, phase-modulation, and amplitude–redistribution circuit blocks. Our research addresses the critical ...
Quantum Simulation of an Open System: A Dissipative 1+1D Ising Model
Erik Gustafson, M. Hite, J. Hubisz +2 more·Nov 30, 2023
The 1+1D Ising model is an ideal benchmark for quantum algorithms, as it is very well understood theoretically. This is true even when expanding the model to include complex coupling constants. In this work, we implement quantum algorithms designed f...
Quantum fidelity kernel with a trapped-ion simulation platform
Rodrigo Mart'inez-Pena, Miguel C. Soriano, R. Zambrini·Nov 30, 2023
Quantum kernel methods leverage a kernel function computed by embedding input information into the Hilbert space of a quantum system. However, large Hilbert spaces can hinder generalization capability, and the scalability of quantum kernels becomes a...
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks
Roy T. Forestano, Marçal Comajoan Cara, Gopal Ramesh Dahale +8 more·Nov 30, 2023
Machine learning algorithms are heavily relied on to understand the vast amounts of data from high-energy particle collisions at the CERN Large Hadron Collider (LHC). The data from such collision events can naturally be represented with graph structu...
Subspace methods for electronic structure simulations on quantum computers
Mario Motta, William Kirby, I. Liepuoniute +7 more·Nov 30, 2023
Quantum subspace methods (QSMs) are a class of quantum computing algorithms where the time-independent Schrödinger equation for a quantum system is projected onto a subspace of the underlying Hilbert space. This projection transforms the Schrödinger ...