Jun-Chau Chien (Advisor)

Research Advised by Professor Jun-Chau Chien

Chien Group:  List of Projects | List of Researchers

Michael Pedowitz

Postdoctoral Researcher
Electrical Engineering and Computer Sciences
Professor Jun-Chau Chien (Advisor)
PostDoc 2025 to present

BPNX1073: Cryogenic CMOS-based Control and Readout of Electrons in Paul Traps (New Project)

Andris Huang
2026

The electron in Paul trap system has been recently proposed as a candidate for qubits in quantum information processing. In such a system, floating electrons are confined in vacuum using oscillating electric fields. Feasibility studies and experimental trapping at room temperature have shown that electrons satisfy all DiVincenzo's criteria, a common standard used to determine whether a system can be a good candidate to perform quantum computation. More importantly, electrons have several advantages in quantum information processing as compared to trapped ions. Electrons are spin-½...

BPNX1005: Scalable SiPh-based Optical Interconnects for Qubit Control

Wei-Yu Lin
2025

Current quantum processor units (QPUs) have achieved over 1,000 qubits (e.g., IBM's Condor processor). However, scaling quantum platforms toward 1 million qubits demands breakthroughs in quantum hardware, connectivity, error correction, and system architecture. To address the scalability of quantum interconnects, Cryo-CMOS control and readout circuits have demonstrated efficacy in reducing wiring complexity, latency, and thermal loads. However, the CMOS circuits limit the active heat load to 1–2 mW/qubit, imposing a limit of approximately 1,000 qubits in state-of-the-art dilution...

Alexander Di

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Jun-Chau Chien (Advisor)
B.S. 2025, Ph.D. 2030 (Anticipated)

BSAC's Best: Fall 2025 Awards Announced

September 24, 2025

BSAC is pleased to announce the recipients of the Outstanding Paper and Presentation Awards from the Fall 2025 Research Review, held on September 24.

The Industrial Advisory Board was highly impressed by the depth and quality of research presented this year. Among a field of exceptional work, the award recipients distinguished themselves through innovation, technical rigor, and clear communication.

We extend our sincere appreciation to all BSAC Researchers for sharing their groundbreaking projects - each contribution advances discovery and strengthens...

A Millimeter-Wave Standing-Wave Oscillator With Frequency-Specific Wave-velocity Control Demonstrating Class-F Effects

Wei-Yu Lin
Jun-Chau Chien
2025

Implementing dual-resonance class-F oscillators with transformer feedback beyond 60 GHz poses significant challenges due to the limited third-harmonic tank impedance when using small coils with low coupling factors. To address these limitations and leverage the phase noise advantages of class-F operation, this letter introduces a standing-wave oscillator (SWO) topology featuring an on-chip multiband transmission-line (t-line) resonator loaded with harmonically tuned open stubs. The proposed design enhances third-harmonic resonance while facilitating precise alignment of the...

20.3 An RFID-inspired One-step Packaged Multi-mode Bio-analyzer with Vacuum Microfluidics for Point-of-Care Diagnostics

Yan-Ting Hsiao
Ya-Chen (Justine) Tsai
Wei Foo
Hung-Yu Hou
Yun-Chun Su
Yueting Lily Li
Jun-Chau Chien
2025

Current clinical practice for detecting low-concentration molecular biomarkers requires sending samples to centralized labs, leading to high costs and delays (Fig. 20.3.1). Recent developments in molecular diagnostics thus aim to enable point-of-care (POC) detection directly at or near the patient's location [1]–[2]. The most successful POC technology to date is the paper-based lateral-flow assay (LFA) [3]–[4]. Examples include pregnancy tests that sense progesterone and SARS-CoV-2 rapid antigen tests. However, paper-based assays generally provide binary results or limited quantitative...

Extension-Enhanced Wavelet Decomposition: a Noise and Background Resilient Square-Wave Voltammogram Signal-Processing Technique for Electrochemical Aptamer-Based Biosensing In Vivo

Ya-Chen (Justine) Tsai
Hyongsok Tom Soh
Jun-Chau Chien
2026

Electrochemical aptamer-based (E-AB) sensors undergo structure-switching upon target binding, making them well-suited for in vivo continuous monitoring of biomolecules with high sensitivity and selectivity. Although square-wave voltammetry (SWV) is the most widely used analytical technique for probing the states of E-AB sensors, precise signal extraction from SWVs acquired during in vivo measurements remains challenging. The difficulty arises due to additive electronic and chemical noise, as well as varying background currents caused by factors such as the reduction of dissolved oxygen,...