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Mingyoung Jessica Jeng

Publications and source records attributed to Mingyoung Jessica Jeng.

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SEQC: Stratify-Elaborate Quantum Compilation Towards Modular Hybrid Architectures

As quantum computing technology matures, the pursuit of performance and scalability has led to the widespread adoption of modular quantum architectures. We expect that the next stage of technological evolution will integrate multiple qubit modalities into these systems, producing hybrid, modular quantum architectures. However, the complexity of hybrid, modular quantum devices, coupled with their growing sizes, presents an imminent scalability challenge for quantum compilation. Existing qubit allocation methods are often unable to contend with inter-module links, which do not necessarily support a universal basis gate set. Furthermore, these algorithms are typically not designed for qubit links of significantly varying latency or fidelity. In this work, we propose SEQC, a hierarchical parallelized compilation pipeline optimized for modular quantum systems, including several novel methods for qubit placement, qubit routing, and circuit optimization. SEQC attains a 9.3-32.3% average increase in circuit fidelity (49.99-63.36% max), depending on the chiplet size and topology. Additionally, owing to its ability to parallelize compilation, SEQC achieves 1.34-3.27$\times$ faster compilation on average (3.37-6.74$\times$ max) over a chiplet-unaware Qiskit baseline.

quant-ph

QuantEM: The quantum error management compiler

As quantum computing advances toward fault-tolerant architectures, quantum error detection (QED) has emerged as a practical and scalable intermediate strategy in the transition from error mitigation to full error correction. By identifying and discarding faulty runs rather than correcting them, QED enables improved reliability with significantly lower overhead. Applying QED to arbitrary quantum circuits remains challenging, however, because of the need for manual insertion of detection subcircuits, ancilla allocation, and hardware-specific mapping and scheduling. We present QuantEM, a modular and extensible compiler designed to automate the integration of QED codes into arbitrary quantum programs. Our compiler consists of three key modules: (1) program analysis and transformation module to examine quantum programs in a QED-aware context and introduce checks and ancilla qubits, (2) error detection code integration module to map augmented circuits onto specific hardware backends, and (3) postprocessing and resource management for measurement results postprocessing and resource-efficient estimation techniques. The compiler accepts a high-level quantum circuit, a chosen error detection code, and a target hardware topology and then produces an optimized and executable circuit. It can also automatically select an appropriate detection code for the user based on circuit structure and resource estimates. QuantEM currently supports Pauli check sandwiching and Iceberg codes and is designed to support future QED schemes and hardware targets. By automating the complex QED compilation flow, this work reduces developer burden, enables fast code exploration, and ensures consistent and correct application of detection logic across architectures.

quant-ph