332 citations · 2.8k across the 55 of their papers we have counts for
22 papers · 1 filter
Simulation-Based Evaluation of Energy-Constrained Quantum-Classical Competition
Junyu Liu, Hansheng Jiang, Zuo-Jun Max Shen
This paper develops a simulation-based framework for evaluating the energy implications of quantum and classical computing firms competing in a market with limited energy resources…
Fundamental causal bounds of quantum random access memories
Yunfei Wang, Yuri Alexeev, Liang Jiang +2
Quantum devices should operate in adherence to quantum physics principles. Quantum random access memory (QRAM), a fundamental component of many essential quantum algorithms for tas…
Simulating lossy Gaussian boson sampling with matrix product operators
Minzhao Liu, Changhun Oh, Junyu Liu +2
Gaussian boson sampling, a computational model that is widely believed to admit quantum supremacy, has already been experimentally demonstrated and is claimed to surpass the classi…
Quantum Power Flows: From Theory to Practice
Junyu Liu, Han Zheng, Masanori Hanada +2
Climate change is becoming one of the greatest challenges to the sustainable development of modern society. Renewable energies with low density greatly complicate the online optimi…
SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture
Han Zheng, Christopher Kang, Gokul Subramanian Ravi +4
We propose SnCQA, a set of hardware-efficient variational circuits of equivariant quantum convolutional circuits respective to permutation symmetries and spatial lattice symmetries…
Stochastic noise can be helpful for variational quantum algorithms
Junyu Liu, Frederik Wilde, Antonio Anna Mele +3
Saddle points constitute a crucial challenge for first-order gradient descent algorithms. In notions of classical machine learning, they are avoided for example by means of stochas…
Quantum Computing Methods for Supply Chain Management
Hansheng Jiang, Zuo-Jun Max Shen, Junyu Liu
Quantum computing is expected to have transformative influences on many domains, but its practical deployments on industry problems are underexplored. We focus on applying quantum…
Symmetric Pruning in Quantum Neural Networks
Xinbiao Wang, Junyu Liu, Tongliang Liu +3
Many fundamental properties of a quantum system are captured by its Hamiltonian and ground state. Despite the significance of ground states preparation (GSP), this task is classica…
Data centers with quantum random access memory and quantum networks
Junyu Liu, Connor T. Hann, Liang Jiang
In this paper, we propose the Quantum Data Center (QDC), an architecture combining Quantum Random Access Memory (QRAM) and quantum networks. We give a precise definition of QDC, an…
Toward Super-polynomial Quantum Speedup of Equivariant Quantum Algorithms with SU() Symmetry
Han Zheng, Zimu Li, Sergii Strelchuk +2
We introduce a framework of the equivariant convolutional quantum algorithms which is tailored for a number of machine-learning tasks on physical systems with arbitrary SU sym…
Quantum Kerr Learning
Junyu Liu, Changchun Zhong, Matthew Otten +5
Quantum machine learning is a rapidly evolving field of research that could facilitate important applications for quantum computing and also significantly impact data-driven scienc…
Estimating the randomness of quantum circuit ensembles up to 50 qubits
Minzhao Liu, Junyu Liu, Yuri Alexeev +1
Random quantum circuits have been utilized in the contexts of quantum supremacy demonstrations, variational quantum algorithms for chemistry and machine learning, and blackhole inf…
Quantum Simulation for High Energy Physics
Christian W. Bauer, Zohreh Davoudi, A. Baha Balantekin +28
It is for the first time that Quantum Simulation for High Energy Physics (HEP) is studied in the U.S. decadal particle-physics community planning, and in fact until recently, this…
Embedding Learning in Hybrid Quantum-Classical Neural Networks
Minzhao Liu, Junyu Liu, Rui Liu +4
Quantum embedding learning is an important step in the application of quantum machine learning to classical data. In this paper we propose a quantum few-shot embedding learning par…
Analytic theory for the dynamics of wide quantum neural networks
Junyu Liu, Khadijeh Najafi, Kunal Sharma +3
Parameterized quantum circuits can be used as quantum neural networks and have the potential to outperform their classical counterparts when trained for addressing learning problem…
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze
Han Zheng, Zimu Li, Junyu Liu +2
We develop a theoretical framework for -equivariant convolutional quantum circuits with SU-symmetry, building on and significantly generalizing Jordan's Permutational Qua…
Representation Learning via Quantum Neural Tangent Kernels
Junyu Liu, Francesco Tacchino, Jennifer R. Glick +2
Variational quantum circuits are used in quantum machine learning and variational quantum simulation tasks. Designing good variational circuits or predicting how well they perform…
Towards a variational Jordan-Lee-Preskill quantum algorithm
Junyu Liu, Zimu Li, Han Zheng +2
Rapid developments of quantum information technology show promising opportunities for simulating quantum field theory in near-term quantum devices. In this work, we formulate the t…
Collisions of false-vacuum bubble walls in a quantum spin chain
Ashley Milsted, Junyu Liu, John Preskill +1
We simulate, using nonperturbative methods, the real-time dynamics of small bubbles of "false vacuum" in a quantum spin chain near criticality, where the low-energy physics is desc…
On Quantum Simulation Of Cosmic Inflation
Junyu Liu, Yue-Zhou Li
In this paper, we generalize Jordan-Lee-Preskill, an algorithm for simulating flat-space quantum field theories, to 3+1 dimensional inflationary spacetime. The generalized algorith…
Quantum simulation with hybrid tensor networks
Xiao Yuan, Jinzhao Sun, Junyu Liu +2
Tensor network theory and quantum simulation are respectively the key classical and quantum computing methods in understanding quantum many-body physics. Here, we introduce the fra…
Scrambling and decoding the charged quantum information
Junyu Liu
Some deep conjectures about quantum gravity are closely related to the role of symmetries in the gravitational background, especially for quantum black holes. In this paper, we sys…