activity
20242026
collaborators

10 papers

quant-ph2026

Operator algebra and algorithmic construction of boundaries and defects in (2+1)D topological Pauli stabilizer codes

Zijian Liang, Bowen Yang, Joseph T. Iosue +1

Quantum low-density parity-check codes, such as the Kitaev toric code and bivariate bicycle codes, are often defined with periodic boundary conditions, which are difficult to reali…

quant-ph2026

Entanglement and circuit complexity in finite-depth random linear optical networks

Laura Shou, Joseph T. Iosue, Yu-Xin Wang +2

We study the growth of entanglement and circuit complexity in random passive linear optical networks as a function of the circuit depth. For entanglement dynamics, we start with an…

quant-ph2026

Superresolution in Quantum Noise Spectroscopy via Filter Design

Joseph T. Iosue, Paraj Titum, Taohan Lin +2

Resolving signals with closely spaced frequencies is central to applications in communications, spectroscopy and sensing. Recent results have shown that quantum sensing protocols c…

quant-ph2025

Instability of steady-state mixed-state symmetry-protected topological order to strong-to-weak spontaneous symmetry breaking

Jeet Shah, Christopher Fechisin, Yu-Xin Wang +6

Recent experimental progress in controlling open quantum systems enables the pursuit of mixed-state nonequilibrium quantum phases. We investigate whether open quantum systems hosti…

quant-ph2025

Higher moment theory and learnability of bosonic states

Joseph T. Iosue, Yu-Xin Wang, Ishaun Datta +4

We present a sample- and time-efficient algorithm to learn any bosonic Fock state acted upon by an arbitrary Gaussian unitary. As a special case, this algorithm efficiently learns…

cs.LG2025

Quantum-inspired Benchmark for Estimating Intrinsic Dimension

Aritra Das, Joseph T. Iosue, Victor V. Albert

Machine learning models can generalize well on real-world datasets. According to the manifold hypothesis, this is possible because datasets lie on a latent manifold with small intr…