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Xiaolu Su

Publications and source records attributed to Xiaolu Su.

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TIDE: An FPGA quantum-control processor for deterministic adaptive execution with guarded runtime program revision

Measurement-responsive quantum experiments require control programs that can revise future operations after execution has begun without disturbing events already committed to precise timing. We present Time-Deterministic and Instruction-Dynamic Execution (TIDE), an FPGA quantum-control processor that separates a runtime-revisable future from a hardware-timed committed-event stream. TIDE provides two complementary update paths: Dynamic Instruction Parameter Update (DIPU) applies a one-shot patch to the next matching event before parameter capture, while Dynamic Instruction Stream Overwrite (DISO) performs guarded replacement, logical deletion, and out-of-line insertion in future resident-program regions. Per-channel committed-event FIFOs isolate accepted descriptors from subsequent control-core and update activity. The implemented Xilinx ZCU102 design meets timing at 250 MHz for the control core and 425 MHz for the timing/update domain. With downstream ready, every tested descriptor committed at least one timing-domain cycle before its programmed timestamp was dispatched in the programmed cycle at the registered output interfaces. In separate post-commit tests, committed timestamps and payloads remained unchanged under the applied perturbations. The minimum all-success mapped DIPU margin was four 250 MHz control-domain cycles. Under continuous payload delivery, an L-word contiguous overwrite completed in L+5 update-domain cycles. Within the characterized guard-distance range, rejected DISO requests preserved the resident path, whereas all admitted replacement, deletion, and insertion transactions exercised here executed a complete revised sequence. TIDE therefore enables runtime adaptation of both parameters and instruction structure while preserving deterministic service of committed quantum-control events.

quant-ph

Error-Mitigated Quantum Simulation of Interacting Fermions with Trapped Ions

Quantum error mitigation has been extensively explored to increase the accuracy of the quantum circuits in noisy-intermediate-scale-quantum (NISQ) computation, where quantum error correction requiring additional quantum resources is not adopted. Among various error-mitigation schemes, probabilistic error cancellation (PEC) has been proposed as a general and systematic protocol that can be applied to numerous hardware platforms and quantum algorithms. However, PEC has only been tested in two-qubit systems and a superconducting multi-qubit system by learning a sparse error model. Here, we benchmark PEC using up to four trapped-ion qubits. For the benchmark, we simulate the dynamics of interacting fermions with or without spins by applying multiple Trotter steps. By tomographically reconstructing the error model and incorporating other mitigation methods such as positive probability and symmetry constraints, we are able to increase the fidelity of simulation and faithfully observe the dynamics of the Fermi-Hubbard model, including the different behavior of charge and spin of fermions. Our demonstrations can be an essential step for further extending systematic error-mitigation schemes toward practical quantum advantages.

quant-ph

Scalable and Programmable Phononic Network with Trapped Ions

Controllable bosonic systems can provide post-classical computational power with sub-universal quantum computational capability. A network that consists of a number of bosons evolving through beam-splitters and phase-shifters between different modes, has been proposed and applied to demonstrate quantum advantages. While the network has been implemented mostly in optical systems with photons, recently alternative realizations have been explored, where major limitations in photonic systems such as photon loss, and probabilistic manipulation can be addressed. Phonons, the quantized excitations of vibrational modes, of trapped ions can be a promising candidate to realize the bosonic network. Here, we experimentally demonstrate a minimal-loss phononic network that can be programmed and in which any phononic states are deterministically prepared and detected. We realize the network with up to four collective-vibrational modes, which can be straightforwardly extended to reveal quantum advantage. We benchmark the performance of the network with an exemplary algorithm of tomography for arbitrary multi-mode states with a fixed total phonon number. We obtain reconstruction fidelities of 94.5 $\pm$ 1.95 % and 93.4 $\pm$ 3.15 % for single-phonon and two-phonon states, respectively. Our experiment demonstrates a clear and novel pathway to scale up a phononic network for various quantum information processing beyond the limitations of classical and other quantum systems.

quant-ph

Experiments on bright field and dark field high energy electron imaging with thick target material

Using a high energy electron beam for the imaging of high density matter with both high spatial-temporal and areal density resolution under extreme states of temperature and pressure is one of the critical challenges in high energy density physics . When a charged particle beam passes through an opaque target, the beam will be scattered with a distribution that depends on the thickness of the material. By collecting the scattered beam either near or off axis, so-called bright field or dark field images can be obtained. Here we report on an electron radiography experiment using 45 MeV electrons from an S-band photo-injector, where scattered electrons, after interacting with a sample, are collected and imaged by a quadrupole imaging system. We achieved a few micrometers (about 4 micrometers) spatial resolution and about 10 micrometers thickness resolution for a silicon target of 300-600 micron thickness. With addition of dark field images that are captured by selecting electrons with large scattering angle, we show that more useful information in determining external details such as outlines, boundaries and defects can be obtained.

physics.acc-ph