activity
20132026
most citedOnset of Random Matrix Behavior in Scrambling Systems

173 citations · 780 across the 28 of their papers we have counts for

collaborators

30 papers

quant-ph2026

Quantum computational advantage in random-circuit sampling on IBM superconducting quantum computers

Tigran Sedrakyan, Yuxuan Zhang, Hovnatan Karapetyan +3

We report forward random-circuit sampling (RCS) on the 120-qubit Nighthawk r2 superconducting processor (ibm_phoenix) with square-lattice connectivity, using 61 qubits, native CZ g…

quant-ph2026

Resolving Structure in Prethermal Floquet Dynamics with Precision Quantum Computation

Eyal Leviatan, Tasneem Watad, Roy Perry +38

Periodically driven interacting quantum many-body systems can exhibit long-lived prethermal dynamics, where local observables retain coherent structure even as entanglement and ope…

quant-ph2026

Observation of gravity-like signatures in holographic codes on a quantum computer

Debopriyo Biswas, Gong Cheng, Krishnanand Karthikeyan +12

The unification of quantum mechanics and general relativity remains one of the major open problems of theoretical physics. The Anti-de Sitter/Conformal Field Theory (AdS/CFT) corre…

quant-ph2026

A Scalable Approach to Solve the Carleman Linearized Burgers' Equation on a Quantum Computer

Reuben Demirdjian, Yvan Quinn, Vincent P. Su +2

Efficiently solving nonlinear ordinary and partial differential equations using a quantum computer is a major challenge due its inherent linearity. To circumvent this challenge, th…

quant-ph2026

Benchmarking Zero-Setup Quantum Circuit Simulators

Arul Rhik Mazumder, Hovnatan Karapetyan, Mohammed Zuhair Mullath +3

Practitioners increasingly rely on hosted simulation environments, but their performance characteristics remain poorly documented. We present a systematic benchmarking study of GPU…

quant-ph2025

Convergence of sample-based quantum diagonalization on a variable-length cuprate chain

L. Andrew Wray, Cheng-Ju Lin, Vincent Su +1

Sample-based quantum diagonalization (SQD) is an algorithm for hybrid quantum-classical molecular simulation that has been of broad interest for application with noisy intermediate…

quant-ph2025

Heuristic Quantum Advantage with Peaked Circuits

Hrant Gharibyan, Mohammed Zuhair Mullath, Nicholas E. Sherman +3

We design and demonstrate heuristic quantum advantage with peaked circuits (HQAP circuits) on Quantinuum's System Model H2 quantum processor. Through extensive experimentation with…

quant-ph2025

Utility-Scale Quantum State Preparation: Classical Training using Pauli Path Simulation

Cheng-Ju Lin, Hrant Gharibyan, Vincent P. Su

We use Pauli Path simulation to variationally obtain parametrized circuits for preparing ground states of various quantum many-body Hamiltonians. These include the quantum Ising mo…

quant-ph2025

A Practical Guide to using Pauli Path Simulators for Utility-Scale Quantum Experiments

Hrant Gharibyan, Siddharth Hariprakash, Mohammed Zuhair Mullath +1

In this this paper we present an inexpensive protocol to perform runtime and memory estimation for large-scale experiments with Pauli Path simulators (PPS). Additionally, we propos…

quant-ph2025

Quantum Image Classification: Experiments on Utility-Scale Quantum Computers

Hrant Gharibyan, Hovnatan Karapetyan, Tigran Sedrakyan +4

We perform image classification on the Honda Scenes Dataset on Quantinuum's H-2 and IBM's Heron chips utilizing up to 72 qubits and thousands of two-qubit gates. For data loading,…

quant-ph2025

Quantum Image Loading: Hierarchical Learning and Block-Amplitude Encoding

Hrant Gharibyan, Hovnatan Karapetyan, Tigran Sedrakyan +4

Given the excitement for the potential of quantum computing for machine learning methods, a natural subproblem is how to load classical data into a quantum state. Leveraging insigh…

hep-th2024

Quantum chaos in the sparse SYK model

Patrick Orman, Hrant Gharibyan, John Preskill

The Sachdev-Ye-Kitaev (SYK) model is a system of Majorana fermions with random interactions and strongly chaotic dynamics, which at low energy admits a holographically dual des…

quant-ph2023

Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits

Hrant Gharibyan, Vincent Su, Hayk Tepanyan

We present hierarchical learning, a novel variational architecture for efficient training of large-scale variational quantum circuits. We test and benchmark our technique for distr…

quant-ph2021★ 53 cited

Quantum Gravity in the Lab: Teleportation by Size and Traversable Wormholes, Part II

Sepehr Nezami, Henry W. Lin, Adam R. Brown +6

In [1] we discussed how quantum gravity may be simulated using quantum devices and gave a specific proposal -- teleportation by size and the phenomenon of size-winding. Here we ela…

hep-th2020★ 49 cited

Quantum simulation of gauge theory via orbifold lattice

Alexander J. Buser, Hrant Gharibyan, Masanori Hanada +2

We propose a new framework for simulating Yang-Mills theory on a universal quantum computer. This construction uses the orbifold lattice formulation proposed by Kapla…

hep-th2020★ 26 cited

Toward simulating Superstring/M-theory on a quantum computer

Hrant Gharibyan, Masanori Hanada, Masazumi Honda +1

We present a novel framework for simulating matrix models on a quantum computer. Supersymmetric matrix models have natural applications to superstring/M-theory and gravitational ph…

hep-th2019

The Python's Lunch: geometric obstructions to decoding Hawking radiation

Adam R. Brown, Hrant Gharibyan, Geoff Penington +1

According to Harlow and Hayden [arXiv:1301.4504] the task of distilling information out of Hawking radiation appears to be computationally hard despite the fact that the quantum st…

quant-ph2019★ 63 cited

Quantum Gravity in the Lab: Teleportation by Size and Traversable Wormholes

Adam R. Brown, Hrant Gharibyan, Stefan Leichenauer +6

With the long-term goal of studying models of quantum gravity in the lab, we propose holographic teleportation protocols that can be readily executed in table-top experiments. Thes…

quant-ph2019★ 14 cited

A characterization of quantum chaos by two-point correlation functions

Hrant Gharibyan, Masanori Hanada, Brian Swingle +1

We propose a characterization of quantum many-body chaos: given a collection of simple operators, the set of all possible pair-correlations between these operators can be organized…

quant-ph2018★ 42 cited

Quantum Virtual Cooling

Jordan Cotler, Soonwon Choi, Alexander Lukin +10

We propose a quantum information based scheme to reduce the temperature of quantum many-body systems, and access regimes beyond the current capability of conventional cooling techn…

hep-th2018★ 90 cited

The Case of the Missing Gates: Complexity of Jackiw-Teitelboim Gravity

Adam R. Brown, Hrant Gharibyan, Henry W. Lin +3

The Jackiw-Teitelboim (JT) model arises from the dimensional reduction of charged black holes. Motivated by the holographic complexity conjecture, we calculate the late-time rate o…

quant-ph2018★ 12 cited

A Quantum Multiparty Packing Lemma and the Relay Channel

Dawei Ding, Hrant Gharibyan, Patrick Hayden +1

Optimally encoding classical information in a quantum system is one of the oldest and most fundamental challenges of quantum information theory. Holevo's bound places a hard upper…

quant-ph2018★ 45 cited

Quantum Lyapunov Spectrum

Hrant Gharibyan, Masanori Hanada, Brian Swingle +1

We introduce a simple quantum generalization of the spectrum of classical Lyapunov exponents. We apply it to the SYK and XXZ models, and study the Lyapunov growth and entropy produ…

hep-th2018★ 67 cited

Falling Toward Charged Black Holes

Adam R. Brown, Hrant Gharibyan, Alexandre Streicher +3

The growth of the "size" of operators is an important diagnostic of quantum chaos. In arXiv:1802.01198 [hep-th] it was conjectured that the holographic dual of the size is proporti…