1.1k citations · 2.9k across the 20 of their papers we have counts for
21 papers
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification
Xavier Vasques, Hanhee Paik, Laura Cif
The functional characterization of different neuronal types has been a longstanding and crucial challenge. With the advent of physical quantum computers, it has become possible to…
Ultrahigh- on-chip silicon-germanium microresonators
Ryan Schilling, Chi Xiong, Swetha Kamlapurkar +7
We demonstrate fully crystalline, single-mode ultrahigh quality factor integrated microresonators comprising epitaxially grown SiGe waveguide cores with silicon c…
Quality, Speed, and Scale: three key attributes to measure the performance of near-term quantum computers
Andrew Wack, Hanhee Paik, Ali Javadi-Abhari +4
Defining the right metrics to properly represent the performance of a quantum computer is critical to both users and developers of a computing system. In this white paper, we ident…
Optimization of the resonator-induced phase gate for superconducting qubits
Moein Malekakhlagh, William Shanks, Hanhee Paik
The resonator-induced phase gate is a two-qubit operation in which driving a bus resonator induces a state-dependent phase shift on the qubits equivalent to an effective inter…
Investigating microwave loss of SiGe using superconducting transmon qubits
Martin Sandberg, Vivekananda P. Adiga, Markus Brink +6
Silicon-Germanium (SiGe) is a material that possesses a multitude of applications ranging from transistors to eletro-optical modulators and quantum dots. The diverse properties of…
Characterization of hidden modes in networks of superconducting qubits
Sarah Sheldon, Martin Sandberg, Hanhee Paik +4
We present a method for detecting electromagnetic (EM) modes that couple to a superconducting qubit in a circuit-QED architecture. Based on measurement-induced dephasing, this tech…