Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
RydbergGPT
David Fitzek, Y. H. Teoh, Hin Pok Fung +5 more·May 31, 2024
We introduce a generative pretrained transformer (GPT) designed to learn the measurement outcomes of a neutral atom array quantum computer. Based on a vanilla transformer, our encoder–decoder architecture takes as input the interacting Hamiltonian, a...
Demonstrating Experimentally the Encoding and Dynamics of an Error-Correctable Logical Qubit on a Hyperfine-Coupled Nuclear Spin Qudit.
Sumin Lim, Mikhail V. Vaganov, Junjie Liu +1 more·May 31, 2024
The realization of effective quantum error correction protocols remains a central challenge in the development of scalable quantum computers. Employing high-dimensional quantum systems (qudits) can offer more hardware-efficient protocols than qubit-b...
Pattern-based quantum functional testing
Erik Weiss, Marcel Cech, Stanislaw Soltan +4 more·May 31, 2024
With the growing number of qubits of quantum information processing devices, the task of fully characterizing these processors becomes increasingly unfeasible. From a practical perspective, one wants to find possible errors in the functioning of the ...
Exact real-time dynamics with free fermions in disguise
István Vona, M'arton Mesty'an, B. Pozsgay·May 31, 2024
We consider quantum spin chains with a hidden free fermionic structure, distinct from the Jordan-Wigner transformation and its generalizations. We express selected local operators with the hidden fermions. This way we can exactly solve the real time ...
Learning topological states from randomized measurements using variational tensor network tomography
Y. Teng, R. Samajdar, Katherine Van Kirk +5 more·May 31, 2024
Learning faithful representations of quantum states is crucial to fully characterizing the variety of many-body states created on quantum processors. While various tomographic methods such as classical shadow and MPS tomography have shown promise in ...
Quantum state preparation for multivariate functions
Matthias Rosenkranz, Eric Brunner, Gabriel Marin-Sanchez +5 more·May 31, 2024
A fundamental step of any quantum algorithm is the preparation of qubit registers in a suitable initial state. Often qubit registers represent a discretization of continuous variables and the initial state is defined by a multivariate function. We de...
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
Zhuo Chen, Rumen Dangovski, Charlotte Loh +3 more·May 31, 2024
We propose Quantum-informed Tensor Adaptation (QuanTA), a novel, easy-to-implement, fine-tuning method with no inference overhead for large-scale pre-trained language models. By leveraging quantum-inspired methods derived from quantum circuit structu...
mRNA Secondary Structure Prediction Using Utility-Scale Quantum Computers
Dimitris Alevras, Mihir Metkar, Takahiro Yamamoto +7 more·May 30, 2024
Recent advancements in quantum computing have created new opportunities for tackling long-standing, complex combinatorial optimization problems that are intractable for classical computers. Predicting the secondary structure of mRNA is one such notor...
Efficient sparse state preparation via quantum walks
A. Gonzales, R. Herrman, Colin Campbell +4 more·May 30, 2024
Continuous-time quantum walks (CTQWs) on dynamic graphs, referred to as dynamic CTQWs, are a recently introduced universal model of computation that offers a new paradigm in which to envision quantum algorithms. In this work, we develop an algorithm ...
Hybrid Quantum Algorithm for Simulating Real-Time Thermal Correlation Functions
Elliot C. Eklund, N. Ananth·May 30, 2024
We present a hybrid Path Integral Monte Carlo (hPIMC) algorithm to calculate real-time quantum thermal correlation functions and demonstrate its application to open quantum systems. The hPIMC algorithm leverages the successes of classical PIMC as a c...
Quantum visual feature encoding revisited
Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill +2 more·May 30, 2024
Although quantum machine learning has been introduced for a while, its applications in computer vision are still limited. This paper, therefore, revisits the quantum visual encoding strategies, the initial step in quantum machine learning. Investigat...
On Low-Rank Multiplicity-Free Fusion Categories
Gert Vercleyen·May 30, 2024
This thesis explains the methods and algorithms we used to obtain explicit F symbols, R symbols, and pivotal coefficients of all multiplicity-free pivotal fusion categories up to rank 7. The thesis starts by introducing the concept of a unitary modul...
Quantum Preference Query
Hao Liu, Xiaotian You, Raymond Chi-Wing Wong·May 30, 2024
Given a large dataset of many tuples, it is hard for users to pick out their preferred tuples. Thus, the preference query problem, which is to find the most preferred tuples from a dataset, is widely discussed in the database area. In this problem, a...
Quantum Circuit Tensors and Enumerators With Applications to Quantum Fault Tolerance
Alon Kukliansky, Brad Lackey·May 30, 2024
We extend the recently introduced notion of tensor enumerator to the circuit enumerator. We provide a mathematical framework that offers a novel method for analyzing circuits and error models without resorting to Monte Carlo techniques. We introduce ...
Improving the Fidelity of CNOT Circuits on NISQ Hardware
Dohun Kim, Minyoung Kim, Sarah Meng Li +1 more·May 30, 2024
We introduce an improved CNOT synthesis algorithm that considers nearest-neighbour interactions and CNOT gate error rates in noisy intermediate-scale quantum (NISQ) hardware. Compared to IBM's Qiskit compiler, it improves the fidelity of a synthesize...
Eclipse Qrisp QAOA: description and preliminary comparison with Qiskit counterparts
E. Osaba, Matic Petrivc, I. Oregi +3 more·May 30, 2024
This paper focuses on the presentation and evaluation of the high-level quantum programming language Eclipse Qrisp. The presented framework, used for developing and compiling quantum algorithms, is measured in terms of efficiency for its implementati...
Quadrupole Coupling of Circular Rydberg Qubits to Inner Shell Excitations.
Moritz Wirth, Christian Holzl, Aaron Gotzelmann +2 more·May 30, 2024
Divalent atoms provide excellent means for advancing control in Rydberg atom-based quantum simulation and computing due to the second optically active valence electron available. Particularly promising in this context are circular Rydberg atoms, for ...
Quantum encoder for fixed-Hamming-weight subspaces
Renato M S Farias, Thiago O. Maciel, Giancarlo Camilo +3 more·May 30, 2024
We present an exact $n$-qubit computational-basis amplitude encoder of real- or complex-valued data vectors of $d=\binom{n}{k}$ components into a subspace of fixed Hamming weight $k$. This represents a polynomial space compression of degree $k$. The ...
First Tree-like Quantum Data Structure: Quantum B+ Tree
Hao Liu, Xiaotian You, Raymond Chi-Wing Wong·May 30, 2024
Quantum computing is a popular topic in computer science, which has recently attracted many studies in various areas such as machine learning and network. However, the topic of quantum data structures seems neglected. There is an open problem in the ...
Fault-tolerant simulation of Lattice Gauge Theories with gauge covariant codes
L. Spagnoli, A. Roggero, N. Wiebe·May 29, 2024
We show in this paper that a strong and easy connection exists between quantum error correction and Lattice Gauge Theories (LGT) by using the Gauge symmetry to construct an efficient error-correcting code for Abelian LGTs. We identify the logical ope...