Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Randomized Benchmarking of Local Zeroth-Order Optimizers for Variational Quantum Systems
Lucas Tecot, Cho-Jui Hsieh·Oct 14, 2023
In the field of quantum information, classical optimizers play an important role. From experimentalists optimizing their physical devices to theorists exploring variational quantum algorithms, many aspects of quantum information require the use of a ...
A One-Query Lower Bound for Unitary Synthesis and Breaking Quantum Cryptography
Alex Lombardi, Fermi Ma, John Wright·Oct 13, 2023
The Unitary Synthesis Problem (Aaronson-Kuperberg 2007) asks whether any n-qubit unitary U can be implemented by an efficient quantum algorithm A augmented with an oracle that computes an arbitrary Boolean function f. In other words, can the task of ...
Quantum computing: principles and applications
Guanru Feng, Dawei Lu, Jun Li +2 more·Oct 13, 2023
People are witnessing quantum computing revolutions nowadays. Progress in the number of qubits, coherence times and gate fidelities are happening. Although quantum error correction era has not arrived, the research and development of quantum computin...
Mixed-state Quantum Phases: Renormalization and Quantum Error Correction
Shengqi Sang, Yijian Zou, Timothy H. Hsieh·Oct 12, 2023
Open system quantum dynamics can generate a variety of long-range entangled mixed states, yet it has been unclear in what sense they constitute phases of matter. To establish that two mixed states are in the same phase, as defined by their two-way co...
Machine Learning Assisted Cognitive Construction of a Shallow Depth Dynamic Ansatz for Noisy Quantum Hardware
Sonaldeep Halder, Anish Dey, Chinmay Shrikhande +1 more·Oct 12, 2023
The development of various dynamic ansatz-constructing techniques has ushered in a new era, rendering the practical exploitation of Noisy Intermediate-Scale Quantum (NISQ) hardware for molecular simulations increasingly viable. However, they exhibit ...
Emergence of noise-induced barren plateaus in arbitrary layered noise models
Marco Schumann, Frank K. Wilhelm, Alessandro Ciani·Oct 12, 2023
In variational quantum algorithms the parameters of a parameterized quantum circuit are optimized in order to minimize a cost function that encodes the solution of the problem. The barren plateau phenomenon manifests as an exponentially vanishing dep...
Bilayer ion trap design for 2D arrays
G. Nop, Jonathan D. H. Smith, D. Stick +1 more·Oct 11, 2023
Junctions are fundamental elements that support qubit locomotion in two-dimensional ion trap arrays and enhance connectivity in emerging trapped-ion quantum computers. In surface ion traps they have typically been implemented by shaping radio frequen...
Approximate Quantum Codes From Long Wormholes
Gregory S. Bentsen, Phuc Nguyen, Brian Swingle·Oct 11, 2023
We discuss families of approximate quantum error correcting codes which arise as the nearly-degenerate ground states of certain quantum many-body Hamiltonians composed of non-commuting terms. For exact codes, the conditions for error correction can b...
Hybrid quantum-classical algorithm for the transverse-field Ising model in the thermodynamic limit
Sumeet, M. Hörmann, K. P. Schmidt·Oct 11, 2023
We describe a hybrid quantum-classical approach to treat quantum many-body systems in the thermodynamic limit. This is done by combining numerical linked-cluster expansions (NLCE) with the variational quantum eigensolver (VQE). Here, the VQE algorith...
Quantum sequential scattering model for quantum state learning
M. Jing, Geng-yang Liu, Hongbin Ren +1 more·Oct 11, 2023
Learning probability distribution is an essential framework in classical learning theory. As a counterpart, quantum state learning has spurred the exploration of quantum machine learning theory. However, as dimensionality increases, learning a high-d...
Variational quantum eigensolver for closed-shell molecules with non-bosonic corrections.
Kyungmin Kim, Sumin Lim, Kyujin Shin +5 more·Oct 11, 2023
The realization of quantum advantage with noisy-intermediate-scale quantum (NISQ) machines has become one of the major challenges in computational sciences. Maintaining coherence of a physical system with more than ten qubits is a critical challenge ...
Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
Zhan Yu, Qiuhao Chen, Yuling Jiao +4 more·Oct 11, 2023
Parameterized quantum circuits (PQCs) have emerged as a promising approach for quantum neural networks. However, understanding their expressive power in accomplishing machine learning tasks remains a crucial question. This paper investigates the expr...
Viderman's algorithm for quantum LDPC codes
Anirudh Krishna, I. Navon, Mary Wootters·Oct 11, 2023
Quantum low-density parity-check (LDPC) codes, a class of quantum error correcting codes, are considered a blueprint for scalable quantum circuits. To use these codes, one needs efficient decoding algorithms. In the classical setting, there are multi...
Quantum-Enhanced Forecasting: Leveraging Quantum Gramian Angular Field and CNNs for Stock Return Predictions
Zhengmeng Xu, Hai Lin·Oct 11, 2023
We propose a time series forecasting method named Quantum Gramian Angular Field (QGAF). This approach merges the advantages of quantum computing technology with deep learning, aiming to enhance the precision of time series classification and forecast...
Probabilistic error cancellation for dynamic quantum circuits
R. Gupta, Ewout van den Berg, M. Takita +3 more·Oct 11, 2023
Probabilistic error cancellation (PEC) is a technique that generates error-mitigated estimates of expectation values from ensembles of quantum circuits. In this work we extend the application of PEC from unitary-only circuits to dynamic circuits with...
Unleashing quantum algorithms with Qinterpreter: bridging the gap between theory and practice across leading quantum computing platforms
Wilmer Contreras Sepúlveda, B. M. Villegas-Martínez, Sandra Gesing +10 more·Oct 11, 2023
Quantum computing is a rapidly emerging and promising field with the potential to transform various research domains including drug design, network technologies, and sustainable energy solutions. Due to the inherent complexity and divergence from cla...
Information scrambling in free fermion systems with a sole interaction
Qucheng Gao, Pengfei Zhang, Xiao Chen·Oct 10, 2023
It is well established that the presence of single impurity can have a substantial impact on the transport properties of quantum many-body systems at low temperature. In this work, we investigate a close analog of this problem from the perspective of...
Topological terms with qubit regularization and relativistic quantum circuits
Tanmoy Bhattacharya, S. Chandrasekharan, Rajan Gupta +2 more·Oct 10, 2023
Qubit regularization provides a rich framework to explore quantum field theories. The freedom to choose how the important symmetries of the theory are embedded in the qubit regularization scheme allows us to construct new lattice models with rich pha...
Quantum state reconstruction via disentanglement with sequential optimization algorithm
Juan Yao·Oct 10, 2023
In this work, we report a novel quantum state reconstruction process based on the disentanglement algorithm. We propose a sequential disentanglement scheme, which can transform an unknown quantum state into a product of computational zero states. The...
Trainability Analysis of Quantum Optimization Algorithms from a Bayesian Lens
Yanqi Song, Yusen Wu, S. Qin +3 more·Oct 10, 2023
The Quantum Approximate Optimization Algorithm (QAOA) is an extensively studied variational quantum algorithm utilized for solving optimization problems on near-term quantum devices. A significant focus is placed on determining the effectiveness of t...