7 citations · 8 across the 9 of their papers we have counts for
9 papers
LUNA: LUT-Based Neural Architecture for Fast and Low-Cost Qubit Readout
M. A. Farooq, G. Di Guglielmo, A. Rajagopala +3
Qubit readout is a critical operation in quantum computing systems, which maps the analog response of qubits into discrete classical states. Deep neural networks (DNNs) have recent…
Efficient Classical Processing of Constant-Depth Time Evolution Circuits in Control Hardware
Akhil Francis, Abhi D. Rajagopala, Norm M. Tubman +2
Improving quantum algorithms run-time performance involves several strategies such as reducing the quantum gate counts, decreasing the number of measurements, advancement in QPU te…
Multi-FPGA Synchronization and Data Communication for Quantum Control and Measurement
Yilun Xu, Abhi D. Rajagopala, Neelay Fruitwala +1
In the last decade, quantum computing has grown from novel physics experiments with a few qubits to commercial systems with hundreds of qubits. As quantum computers continue to gro…
Hardware-Assisted Parameterized Circuit Execution
Abhi D. Rajagopala, Akel Hashim, Neelay Fruitwala +6
Standard compilers for quantum circuits decompose arbitrary single-qubit gates into a sequence of physical X(pi/2) pulses and virtual-Z phase gates. Consequently, many circuit clas…
Hardware-Efficient Randomized Compiling
Neelay Fruitwala, Akel Hashim, Abhi D. Rajagopala +7
Randomized compiling (RC) is an efficient method for tailoring arbitrary Markovian errors into stochastic Pauli channels. However, the standard procedure for implementing the proto…
ML-Powered FPGA-based Real-Time Quantum State Discrimination Enabling Mid-circuit Measurements
Neel R. Vora, Yilun Xu, Akel Hashim +12
Accurate and timely quantum state discrimination is critical for quantum computing, particularly in protocols requiring mid-circuit measurement (MCM) and conditional feed-forward.…