30 citations · 53 across the 10 of their papers we have counts for
10 papers
Resilience Beyond the Light Cone: Error-Detected Primitives for Practical Dynamic Circuits
Kevin C. Smith, Bibek Pokharel, Satvik Maurya +1
Dynamic circuits, which augment unitary operations with mid-circuit measurements and classical feedforward, can generate long-range entanglement in constant depth, enabling low-dep…
PropHunt: Automated Optimization of Quantum Syndrome Measurement Circuits
Joshua Viszlai, Satvik Maurya, Swamit Tannu +2
Fault-Tolerant Quantum Computing (FTQC) relies on Quantum Error Correction (QEC) codes to reach error rates necessary for large scale quantum applications. At a physical level, QEC…
FPGA-tailored algorithms for real-time decoding of quantum LDPC codes
Satvik Maurya, Thilo Maurer, Markus Bühler +2
Real-time decoding is crucial for fault-tolerant quantum computing but likely requires specialized hardware such as field-programmable gate arrays (FPGAs), whose parallelism can al…
Enabling Fast and Accurate Neutral Atom Readout through Image Denoising
Chaithanya Naik Mude, Linipun Phuttitarn, Satvik Maurya +3
Neutral atom quantum computers hold promise for scaling up to hundreds of thousands or more qubits, but their progress is constrained by slow qubit readout. Parallel measurement of…
Synchronization for Fault-Tolerant Quantum Computers
Satvik Maurya, Swamit Tannu
Quantum Error Correction (QEC) codes store information reliably in logical qubits by encoding them in a larger number of less reliable qubits. The surface code, known for its high…
Managing Classical Processing Requirements for Quantum Error Correction
Satvik Maurya, Abtin Molavi, Aws Albarghouthi +1
Large-scale quantum computers promise transformative speedups, but their viability hinges on fast and reliable quantum error correction (QEC). At the center of QEC are decoders-cla…
Understanding Side-Channel Vulnerabilities in Superconducting Qubit Readout Architectures
Satvik Maurya, Chaithanya Naik Mude, Benjamin Lienhard +1
Frequency-multiplexing is an effective method to achieve resource-efficient superconducting qubit readout. Allowing multiple resonators to share a common feedline, the number of ca…
Efficient and Scalable Architectures for Multi-Level Superconducting Qubit Readout
Chaithanya Naik Mude, Satvik Maurya, Benjamin Lienhard +1
Realizing the full potential of quantum computing requires large-scale quantum computers capable of running quantum error correction (QEC) to mitigate hardware errors and maintain…
COMPAQT: Compressed Waveform Memory Architecture for Scalable Qubit Control
Satvik Maurya, Swamit Tannu
On superconducting architectures, the state of a qubit is manipulated by using microwave pulses. Typically, the pulses are stored in the waveform memory and then streamed to the Di…
Scaling Qubit Readout with Hardware Efficient Machine Learning Architectures
Satvik Maurya, Chaithanya Naik Mude, William D. Oliver +2
Reading a qubit is a fundamental operation in quantum computing. It translates quantum information into classical information enabling subsequent classification to assign the qubit…