Papers
Live trends in quantum computing research, updated daily from arXiv.
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Learning State Preparation Circuits for Quantum Phases of Matter
Hyun-Soo Kim, Isaac H. Kim, Daniel Ranard·Oct 31, 2024
Many-body ground state preparation is an important subroutine used in the simulation of physical systems. In this paper, we introduce a flexible and efficient framework for obtaining a state preparation circuit for a large class of many-body ground s...
Testing and Learning Structured Quantum Hamiltonians
Srinivasan Arunachalam, Arkopal Dutt, Francisco Escudero Gutiérrez·Oct 31, 2024
We consider the problems of testing and learning an unknown n-qubit quantum Hamiltonian H=∑x λx σx expressed in its Pauli basis, from queries to its evolution operator e−iHt under the normalized Frobenius norm. To this end, we prove the following res...
Natural gradient and parameter estimation for quantum Boltzmann machines
Dhrumil Patel, Mark M. Wilde·Oct 31, 2024
Thermal states play a fundamental role in various areas of physics, and they are becoming increasingly important in quantum information science, with applications related to semi-definite programming, quantum Boltzmann machine learning, Hamiltonian l...
Entanglement scaling and criticality of infinite-size quantum many-body systems in continuous space addressed by a tensor network approach
Rui Hong, Hao-Wei Cui, An-Chun Ji +1 more·Oct 31, 2024
Simulating strongly-correlated quantum systems in continuous space belongs to the most challenging and long-concerned issues in quantum physics. This work investigates the quantum entanglement and criticality of the ground-state wave-functions of inf...
Quantum Deep Equilibrium Models
P. Schleich, Marta Skreta, L. B. Kristensen +2 more·Oct 31, 2024
The feasibility of variational quantum algorithms, the most popular correspondent of neural networks on noisy, near-term quantum hardware, is highly impacted by the circuit depth of the involved parametrized quantum circuits (PQCs). Higher depth incr...
Kinetic-inductance-incorporated quantization for accurate Hamiltonian prediction in superconducting circuits
Seong Hyeon Park, Gahyun Choi, Eunjong Kim +6 more·Oct 31, 2024
Recent advances in quantum information processing with superconducting qubits have fueled a growing demand for scaling and miniaturizing circuit layouts. Despite significant progress, predicting the Hamiltonian of complex circuits remains a challengi...
Generalized Short Path Algorithms: Towards Super-Quadratic Speedup over Markov Chain Search for Combinatorial Optimization
Shouvanik Chakrabarti, Dylan Herman, Guneykan Ozgul +6 more·Oct 30, 2024
We analyze generalizations of quantum algorithms based on the short path framework first proposed by Hastings~[\textit{Quantum} 2, 78 (2018)], which has been extended and shown by Dalzell~et~al.~[STOC~'23] to achieve super-Grover speedups for certain...
Model Order Reduction for Open Quantum Systems Based on Measurement-adapted Time-coarse Graining
Wentao Fan, Hakan E. Türeci·Oct 30, 2024
Model order reduction encompasses mathematical techniques aimed at reducing the complexity of mathematical models in simulations while retaining the essential characteristics and behaviors of the original model. This is particularly useful in the con...
LEGO_HQEC: Automating the Analysis, Construction, and Decoding of Holographic Quantum Codes
Junyu Fan, Matthew Steinberg, Alexander Jahn +3 more·Oct 30, 2024
Quantum error correction (QEC) is a crucial prerequisite for future large-scale quantum computation. Finding and analyzing new QEC codes, along with efficient decoding and fault-tolerance protocols, is central to this effort. Holographic codes are a ...
Measurement-Induced Entanglement and Complexity in Random Constant-Depth 2D Quantum Circuits
Max McGinley, Wen Wei Ho, D. Malz·Oct 30, 2024
We analyze the entanglement structure of states generated by random constant-depth two-dimensional quantum circuits, followed by projective measurements of a subset of sites. By deriving a rigorous lower bound on the average entanglement entropy of s...
Certified algorithms for quantum Hamiltonian learning via energy-entropy inequalities
Adam Artymowicz, Hamza Fawzi, Omar Fawzi +1 more·Oct 30, 2024
We consider the problem of learning the Hamiltonian of a quantum system from estimates of Gibbs-state expectation values. Various methods for achieving this task were proposed recently, both from a practical and theoretical point of view. On the one ...
Quantum Carleman linearization efficiency in nonlinear fluid dynamics
Javier Gonzalez-Conde, D. Lewis, Sachin S. Bharadwaj +1 more·Oct 30, 2024
Computational fluid dynamics (CFD) is a specialized branch of fluid mechanics that utilizes numerical methods and algorithms to solve and analyze fluid-flow problems. One promising avenue to enhance CFD is the use of quantum computing, which has the ...
Highly stable aluminum air-bridges with stiffeners
A. Bolgar, D. Kalacheva, V. Lubsanov +4 more·Oct 30, 2024
Air-bridges play a crucial role in the performance of microwave circuits integrated with superconducting quantum bits, and their mechanical stability is important for reliable operation. This study is devoted to the technological issues that lead to ...
Many-Body Quantum Catalysts for Transforming Between Phases of Matter
David T. Stephen, Rahul Nandkishore, Jian-Hao Zhang·Oct 30, 2024
A catalyst is a substance that enables otherwise impossible transformations between states of a system, without being consumed in the process. In this work, we apply the notion of catalysts to many-body quantum physics. In particular, we construct ca...
On Computational Complexity of Unitary and State Design Properties
Y. Nakata, Yuki Takeuchi, M. Kliesch +1 more·Oct 30, 2024
We investigate unitary and state $t$-designs from a computational complexity perspective. First, we address the problems of computing frame potentials that characterize (approximate) $t$-designs. We present a quantum algorithm for computing frame pot...
Deterministic Generation of Frequency-Bin-Encoded Microwave Photons.
Jiaying Yang, M. Khanahmadi, Ingrid Strandberg +7 more·Oct 30, 2024
A distributed quantum computing network requires a quantum communication channel between spatially separated processing units. In superconducting circuits, such a channel can be implemented based on propagating microwave photons to encode and transfe...
Crosstalk Attack Resilient RNS Quantum Addition
Bhaskar Gaur, Himanshu Thapliyal·Oct 30, 2024
As quantum computers scale, the rise of multi-user and cloud-based quantum platforms can lead to new security challenges. Attacks within shared execution environments become increasingly feasible due to the crosstalk noise that, in combination with q...
Hybrid cat-transmon architecture for scalable, hardware-efficient quantum error correction
Connor T. Hann, Kyungjoo Noh, Harald Putterman +6 more·Oct 30, 2024
Dissipative cat qubits are a promising physical platform for quantum computing, since their large noise bias can enable more hardware-efficient quantum error correction. In this work we theoretically study the long-term prospects of a hybrid cat-tran...
Slow Relaxation in a Glassy Quantum Circuit
Richard Barney, Y. Liao, V. Galitski·Oct 30, 2024
Quantum circuits have become a powerful tool in the study of many-body quantum physics, providing insights into both fast-thermalizing chaotic and non-thermalizing integrable many-body dynamics. In this work, we explore a distinct intermediate class ...
Computation with quantum Reed-Muller codes and their mapping onto 2D atom arrays
Anqi Gong, J. Renes·Oct 30, 2024
We give a fault tolerant construction for error correction and computation using two punctured quantum Reed-Muller (PQRM) codes. In particular, we consider the $[[127,1,15]]$ self-dual doubly-even code that has transversal Clifford gates (CNOT, H, S)...