8 citations · 16 across the 6 of their papers we have counts for
8 papers
The magic cost of fermionic randomness
Chenfeng Cao, Yifan Tang, Jens Eisert
Sampling-based quantum advantage raises a basic resource question: how much non-Gaussianity is needed to reproduce the random-matrix statistics often associated with quantum chaos?…
Environmental records unlock universal quantum computation from thermal decoherence
Chenfeng Cao, Qi Zhao
At a fixed thermal exposure, the same stabilizer processor can be classically simulable or quantum universal, depending on which environmental records its controller retains. We gi…
Sudden death of entanglement, rebirth of magic
Chenfeng Cao
Local Markovian noise cannot bring entanglement back, but it can bring magic back. Unlike separability, stabilizer membership is not preserved by local channels, allowing dissipati…
Learning Unified Control of Intrinsic Nonlinear Spin Dynamics in Atomic Qudits for Magnetometry
C. Z. Cao, J. Z. Han, M. Xiong +4
Generating and preserving metrologically useful quantum states is a central challenge in quantum-enhanced metrology. In low-field atomic magnetometry with multilevel atoms, the non…
Measurement-induced non-commutativity in adaptive fermionic linear optics
Chenfeng Cao, Yifan Tang, Jens Eisert
Fermionic linear optics (FLO) with Gaussian resources is known to be efficiently classically simulable. We show that this changes for fermions with internal degrees of freedom once…
Tangent Space Excitation Ansatz for Quantum Circuits
Ji-Yao Chen, Bochen Huang, D. L. Zhou +3
Computing excitation spectra of quantum many-body systems is a promising avenue to demonstrate the practical utility of current noisy quantum devices, especially as we move toward…
Measurement-driven quantum advantages in shallow circuits
Chenfeng Cao, Jens Eisert
Quantum advantage schemes probe the boundary between classically simulatable and classically intractable quantum dynamics. We explore the impact of mid-circuit measurements on the…
Unveiling quantum phase transitions from traps in variational quantum algorithms
Chenfeng Cao, Filippo Maria Gambetta, Ashley Montanaro +1
Understanding quantum phase transitions in physical systems is fundamental to characterize their behavior at low temperatures. Achieving this requires both accessing good approxima…