From the 1 of 8 linked papers with an AI index.
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Restrictions on non-Clifford fault tolerance and ruling out beyond-SQL quantum metrology
Constantin Cedillo Vayson de Pradenne, Ishaan Kannan, Harald Putterman +1
The paper proves limits on transversal non‑Clifford gates in stabilizer codes, showing these constraints prevent fault‑tolerant transversal sensing that would surpass the standard…
Learning Arbitrary Lindbladians with Quantum Error Correction
Nikita Romanov, Petr Ivashkov, Weiyuan Gong +4
We study ansatz-free Lindbladian learning, the problem of reconstructing the generator of an open quantum system without prior knowledge of its Hamiltonian or dissipator structures…
Exponential speedups in fault-tolerant processing of quantum experiments
Ishaan Kannan, Harald Putterman, Jordan Cotler
Quantum information processing has the potential to substantially enhance how we learn from physical experiments, but coupling a quantum processor to an experimental sample introdu…
Quantum Advantage for Sensing Properties of Classical Fields
Jordan Cotler, Daine L. Danielson, Ishaan Kannan
Modern precision experiments often probe unknown classical fields with bosonic sensors in quantum-noise-limited regimes where vacuum fluctuations limit conventional readout. We int…
Noisy Quantum Learning Theory
Jordan Cotler, Weiyuan Gong, Ishaan Kannan
We develop a framework for learning from noisy quantum experiments in which fault-tolerant devices access uncharacterized systems through noisy couplings. Introducing the complexit…
A Quantum Approximate Optimization Algorithm for Local Hamiltonian Problems
Ishaan Kannan, Robbie King, Leo Zhou
Local Hamiltonian Problems (LHPs) are important problems that are computationally QMA-complete and physically relevant for many-body quantum systems. Quantum MaxCut (QMC), which eq…