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20212026
most citedPrivate learning implies quantum stability

7 citations · 11 across the 6 of their papers we have counts for

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quant-ph2026

Post-Quantum Cryptography from Quantum Stabilizer Decoding

Jonathan Z. Lu, Alexander Poremba, Yihui Quek +1

Post-quantum cryptography currently rests on a small number of hardness assumptions, posing significant risks should any one of them be compromised. This vulnerability motivates th…

quant-ph2025

Design boosters: from constant-time quantum chaos to -designs and beyond

Soumik Ghosh, Arjun Mirani, Yihui Quek +1

We study a counterintuitive property of 'conditioning' on the result of measuring a subsystem of a quantum state: such conditioning can boost design quality, at the cost of increas…

quant-ph2025

Hamiltonian Decoded Quantum Interferometry

Alexander Schmidhuber, Jonathan Z. Lu, Noah Shutty +3

We introduce Hamiltonian Decoded Quantum Interferometry (HDQI), a quantum algorithm that utilizes coherent Bell measurements and the symplectic representation of the Pauli group to…

quant-ph2025

Quantum advantage from random geometrically-two-local Hamiltonian dynamics

Yihui Quek

Classical hardness-of-sampling results are largely established for random quantum circuits, whereas analog simulators natively realize time evolutions under geometrically local Ham…

quant-ph2025

Information-Computation Gaps in Quantum Learning via Low-Degree Likelihood

Sitan Chen, Weiyuan Gong, Jonas Haferkamp +1

In a variety of physically relevant settings for learning from quantum data, designing protocols that can computationally efficiently extract information remains largely an art, an…

quant-ph2024

Simulating quantum chaos without chaos

Andi Gu, Yihui Quek, Susanne Yelin +2

Quantum chaos is a quantum many-body phenomenon that is associated with a number of intricate properties, such as level repulsion in energy spectra or distinct scalings of out-of-t…