Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Gaussian breeding for encoding a qubit in propagating light
Kan Takase, Kosuke Fukui, Akito Kawasaki +5 more·Dec 11, 2022
Practical quantum computing requires robust encoding of logical qubits in physical systems to protect fragile quantum information. Currently, the lack of scalability limits the logical encoding in most physical systems, and thus the high scalability ...
Unbounded loops in quantum programs: categories and weak while loops
Pablo Andr'es-Mart'inez·Dec 10, 2022
Control flow of quantum programs is often divided into two different classes: classical and quantum. Quantum programs with classical control flow have their conditional branching determined by the classical outcome of measurements, and these collapse...
Universal Qudit Gate Synthesis for Transmons
Laurin E. Fischer, A. Chiesa, F. Tacchino +3 more·Dec 8, 2022
Gate-based quantum computers typically encode and process information in two-dimensional units called qubits. Using $d$-dimensional qudits instead may offer intrinsic advantages, including more efficient circuit synthesis, problem-tailored encodings ...
Correlation as a Resource in Unitary Quantum Measurements
Vishal Johnson, Ashmeet Singh, Reimar Leike +2 more·Dec 7, 2022
Quantum measurement is a physical process. What physical resources and constraints does quantum mechanics require for measurement to produce the classical world we observe? Treating measurement as a fully unitary quantum process, our goal is to show ...
Universal Kardar-Parisi-Zhang scaling in noisy hybrid quantum circuits
Shuo Liu, Ming-Rui Li, Shi-Xin Zhang +2 more·Dec 7, 2022
Measurement-induced phase transitions (MIPT) have attracted increasing attention due to the rich phenomenology of entanglement structures and their relation with quantum information processing. Since physical systems are unavoidably coupled to enviro...
Scaling Qubit Readout with Hardware Efficient Machine Learning Architectures
Satvik Maurya, Chaithanya Naik Mude, W. Oliver +2 more·Dec 7, 2022
Reading a qubit is a fundamental operation in quantum computing. It translates quantum information into classical information enabling subsequent classification to assign the qubit states '0' or '1'. Unfortunately, qubit readout is one of the most er...
Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions
Chenyi Zhang, Tongyang Li·Dec 7, 2022
Quantum algorithms for optimization problems are of general interest. Despite recent progress in classical lower bounds for nonconvex optimization under different settings and quantum lower bounds for convex optimization, quantum lower bounds for non...
Computing linear sections of varieties: quantum entanglement, tensor decompositions and beyond
N. Johnston, B. Lovitz, Aravindan Vijayaraghavan·Dec 7, 2022
We study the problem of finding elements in the intersection of an arbitrary conic variety in $\mathbb{F}^{n}$ with a given linear subspace (where $\mathbb{F}$ can be the real or complex field). This problem captures a rich family of algorithmic prob...
Generation of Perfectly Entangled Two and Three Qubits States by Classical Random Interaction
Javed Akram·Dec 6, 2022
This study examines the possibility of finding perfect entanglers for a Hamiltonian which corresponds to several quantum information platforms of interest at the present time. However, in this study, a superconducting circuit is used that stands out ...
Robustness of Quantum Algorithms for Nonconvex Optimization
Weiyuan Gong, Chenyi Zhang, Tongyang Li·Dec 5, 2022
Recent results suggest that quantum computers possess the potential to speed up nonconvex optimization problems. However, a crucial factor for the implementation of quantum optimization algorithms is their robustness against experimental and statisti...
Quantum NETwork: from theory to practice
K. Fang, Jingtian Zhao, Xiufan Li +2 more·Dec 2, 2022
The quantum internet is envisioned as the ultimate stage of the quantum revolution, which surpasses its classical counterpart in various aspects, such as the efficiency of data transmission, the security of network services, and the capability of inf...
Protecting the Quantum Interference of Cat States by Phase-Space Compression
X. Pan, Jonathan Schwinger, Ni-Ni Huang +7 more·Dec 2, 2022
Cat states, with their unique phase-space interference properties, are ideal candidates for understanding fundamental principles of quantum mechanics and performing key quantum information processing tasks. However, they are highly susceptible to pho...
Asymmetric Adaptive LDPC-Based Information Reconciliation for Industrial Quantum Key Distribution
N. Borisov, I. Petrov, A. Tayduganov·Dec 2, 2022
We develop a new approach for asymmetric LDPC-based information reconciliation in order to adapt to the current channel state and achieve better performance and scalability in practical resource-constrained QKD systems. The new scheme combines the ad...
Resource-frugal Hamiltonian eigenstate preparation via repeated quantum phase estimation measurements
Richard Meister, S. Benjamin·Dec 1, 2022
The preparation of Hamiltonian eigenstates is essential for many applications in quantum computing; the efficiency with which this can be done is of key interest. A canonical approach exploits the quantum phase estimation (QPE) algorithm. We adopt id...
Self-consistent Quantum Iteratively Sparsified Hamiltonian method (SQuISH): A new algorithm for efficient Hamiltonian simulation and compression
Diana Chamaki, Stuart Hadfield, Katherine Klymko +2 more·Nov 29, 2022
It is crucial to reduce the resources required to run quantum algorithms and simulate physical systems on quantum computers due to coherence time limitations. With regards to Hamiltonian simulation, a significant effort has focused on building effici...
Scrambling and quantum chaos indicators from long-time properties of operator distributions
Sivaprasad Omanakuttan, Karthik Chinni, Philip Daniel Blocher +1 more·Nov 29, 2022
Scrambling is a key concept in the analysis of nonequilibrium properties of quantum many-body systems. Most studies focus on its characterization via out-of-time-ordered correlation functions (OTOCs), particularly through the early-time decay of the ...
Benchmarking the Role of Particle Statistics in Quantum Reservoir Computing
Guillem Llodrà, C. Charalambous, G. Giorgi +1 more·Nov 29, 2022
Quantum reservoir computing is a neuro‐inspired machine learning approach harnessing the rich dynamics of quantum systems to solve temporal tasks. It has gathered attention for its suitability for NISQ devices, for easy and fast trainability, and for...
Implicit differentiation of variational quantum algorithms
Shahnawaz Ahmed, N. Killoran, J. Álvarez·Nov 24, 2022
Several quantities important in condensed matter physics, quantum information, and quantum chemistry, as well as quantities required in meta-optimization of machine learning algorithms, can be expressed as gradients of implicitly defined functions of...
Photonic Quantum Computing For Polymer Classification
A. Stoyanova, Taha Hammadia, Arno Ricou +1 more·Nov 22, 2022
We present a hybrid classical-quantum approach to the binary classification of polymer structures. Two polymer classes visual (VIS) and near-infrared (NIR) are defined based on the size of the polymer gaps. The hybrid approach combines one of the thr...
Variational Quantum Metrology with Loschmidt Echo
Ran Liu, Ze Wu, Xiaodong Yang +6 more·Nov 22, 2022
By utilizing quantum mechanical effects, such as superposition and entanglement, quantum metrology promises higher precision than the classical strategies. It is, however, practically challenging to realize the quantum advantages. This is mainly due ...