activity
20212026
most citedSeeing moiré: convolutional network learning applied to twistronics

9 citations · 19 across the 11 of their papers we have counts for

collaborators

14 papers

quant-ph2026

-efficient unitary synthesis via block-sparse Hamiltonian simulation

Diyi Liu, Shuchen Zhu, Wibe Albert de Jong +3

We construct Clifford+ circuits implementing arbitrary -qubit unitaries with worst-case -count at constant operator-norm error, where , imp…

quant-ph2026

Driven-Dissipative Ground State Preparation: Mixing Time and Randomness

Paul Cazeaux, Marius Junge, Diyi Liu

Dissipative protocols offer a route to ground state preparation that does not require a large initial overlap with the ground state. To move beyond time independent Lindbladians an…

quant-ph2026

Exponentially Compressed and Garbage-Free Alias Sampling for Polynomial State Preparation

Diyi Liu, Hanyu Wang, Shuchen Zhu +4

Coherent alias sampling implement an important subroutine for block encoding and qubitization based quantum simulation using quantum lookup table. Related constructions exploit dat…

quant-ph2026

Logical Resource Estimation for Quantum State Preparation with Compilation

Diyi Liu, Hanyu Wang, Shuchen Zhu +6

Quantum state preparation is a fundamental primitive in quantum algorithms for encoding classical data into quantum amplitudes. We compare the cost of preparing general -qubit s…

quant-ph2025

Magic State Distillation using Asymptotically Good Codes on Qudits

Michael J. Cervia, Henry Lamm, Diyi Liu +2

Qudits offer the potential for low-overhead magic state distillation, although previous results for asymptotically good codes have required qudit dimension or code lengt…

quant-ph2025★ 1 cited

Low-gate-count block encodings for second-quantized fermionic Hamiltonians

Diyi Liu, Shuchen Zhu, Guang Hao Low +2

Efficient block encoding of many-body Hamiltonians is a central requirement for quantum algorithms in scientific computing, particularly in the early fault-tolerant era. In this wo…

quant-ph2025

High-order Magnus Expansion for Hamiltonian Simulation

Di Fang, Diyi Liu, Shuchen Zhu

Efficient simulation of quantum dynamics with time-dependent Hamiltonians is important not only for time-varying systems but also for time-independent Hamiltonians in the interacti…

quant-ph2025

Synthesis of Single Qutrit Circuits from Clifford+R

Erik J. Gustafson, Henry Lamm, Diyi Liu +2

We present two deterministic algorithms to approximate single-qutrit gates. These algorithms utilize the Clifford + group to find the best approximation of diagonal ro…

quant-ph2024★ 7 cited

Time-dependent Hamiltonian Simulation via Magnus Expansion: Algorithm and Superconvergence

Di Fang, Diyi Liu, Rahul Sarkar

Hamiltonian simulation becomes more challenging as the underlying unitary becomes more oscillatory. In such cases, an algorithm with commutator scaling and a weak dependence, such…

math-ph2024

Learning the local density of states of a bilayer moiré material in one dimension

Diyi Liu, Alexander B. Watson, Michael Hott +2

Recent work of three of the authors showed that the operator which maps the local density of states of a one-dimensional untwisted bilayer material to the local density of states o…

nucl-th2024

An Efficient Quantum Circuit for Block Encoding a Pairing Hamiltonian

Diyi Liu, Weijie Du, Lin Lin +2

We present an efficient quantum circuit for block encoding pairing Hamiltonian often studied in nuclear physics. Our block encoding scheme does not require mapping the creation and…

math-ph2023

Modeling of electronic dynamics in twisted bilayer graphene

Tianyu Kong, Diyi Liu, Mitchell Luskin +1

We consider the problem of numerically computing the quantum dynamics of an electron in twisted bilayer graphene. The challenge is that atomic-scale models of the dynamics are aper…

cond-mat.mes-hall2022★ 9 cited

Seeing moiré: convolutional network learning applied to twistronics

Diyi Liu, Mitchell Luskin, Stephen Carr

Moiré patterns made of two-dimensional (2D) materials represent highly tunable electronic Hamiltonians, allowing a wide range of quantum phases to emerge in a single material. Curr…

quant-ph2021★ 2 cited

Computing Free Energies with Fluctuation Relations on Quantum Computers

Lindsay Bassman, Katherine Klymko, Diyi Liu +2

Fluctuation relations allow for the computation of equilibrium properties, like free energy, from an ensemble of non-equilibrium dynamics simulations. Computing them for quantum sy…