63 citations · 350 across the 30 of their papers we have counts for
30 papers
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…
Accurate Leakage Speculation for Quantum Error Correction
Chaithanya Naik Mude, Swamit Tannu
Quantum Error Correction (QEC) protects qubits against bit- and phase-flip errors in the |0> or |1> subspace, but physical qubits can also leak into higher energy levels (e.g., |2>…
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…
Generating Compilers for Qubit Mapping and Routing
Abtin Molavi, Amanda Xu, Ethan Cecchetti +2
To evaluate a quantum circuit on a quantum processor, one must find a mapping from circuit qubits to processor qubits and plan the instruction execution while satisfying the proces…
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…
Efficient measurement of neutral-atom qubits with matched filters
Robert M. Kent, Linipun Phuttitarn, Chaithanya Naik Mude +4
Quantum computers require high-fidelity measurement of many qubits to achieve a quantum advantage. Traditional approaches suffer from readout crosstalk for a neutral-atom quantum p…
Iceberg Beyond the Tip: Co-Compilation of a Quantum Error Detection Code and a Quantum Algorithm
Yuwei Jin, Zichang He, Tianyi Hao +5
The rapid progress in quantum hardware is expected to make them viable tools for the study of quantum algorithms in the near term. The timeline to useful algorithmic experimentatio…
Reducing T Gates with Unitary Synthesis
Tianyi Hao, Amanda Xu, Swamit Tannu
Quantum error correction is essential for achieving practical quantum computing but has a significant computational overhead. Among fault-tolerant (FT) gate operations, non-Cliffor…
Crosstalk-induced Side Channel Threats in Multi-Tenant NISQ Computers
Navnil Choudhury, Chaithanya Naik Mude, Sanjay Das +3
As quantum computing rapidly advances, its near-term applications are becoming increasingly evident. However, the high cost and under-utilization of quantum resources are prompting…
Optimizing Quantum Circuits, Fast and Slow
Amanda Xu, Abtin Molavi, Swamit Tannu +1
Optimizing quantum circuits is critical: the number of quantum operations needs to be minimized for a successful evaluation of a circuit on a quantum processor. In this paper we un…
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…
Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion
Tianyi Hao, Zichang He, Ruslan Shaydulin +2
Variational quantum algorithms (VQAs) are a broad class of algorithms with many applications in science and industry. Applying a VQA to a problem involves optimizing a parameterize…
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…
Exploiting many-body localization for scalable variational quantum simulation
Chenfeng Cao, Yeqing Zhou, Swamit Tannu +2
Variational quantum algorithms (VQAs) represent a promising pathway toward achieving practical quantum advantage on near-term hardware. Despite this promise, for generic, expressiv…
Dependency-Aware Compilation for Surface Code Quantum Architectures
Abtin Molavi, Amanda Xu, Swamit Tannu +1
Practical applications of quantum computing depend on fault-tolerant devices with error correction. Today, the most promising approach is a class of error-correcting codes called s…
Enabling High Performance Debugging for Variational Quantum Algorithms using Compressed Sensing
Kun Liu, Tianyi Hao, Swamit Tannu
Variational quantum algorithms (VQAs) can potentially solve practical problems using contemporary Noisy Intermediate Scale Quantum (NISQ) computers. VQAs find near-optimal solution…
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…
Synthesizing Quantum-Circuit Optimizers
Amanda Xu, Abtin Molavi, Lauren Pick +2
Near-term quantum computers are expected to work in an environment where each operation is noisy, with no error correction. Therefore, quantum-circuit optimizers are applied to min…
Qubit Mapping and Routing via MaxSAT
Abtin Molavi, Amanda Xu, Martin Diges +3
Near-term quantum computers will operate in a noisy environment, without error correction. A critical problem for near-term quantum computing is laying out a logical circuit onto a…
HAMMER: boosting fidelity of noisy Quantum circuits by exploiting Hamming behavior of erroneous outcomes
Swamit Tannu, Poulami Das, Ramin Ayanzadeh +1
Quantum computers with hundreds of qubits will be available soon. Unfortunately, high device error-rates pose a significant challenge in using these near-term quantum systems to po…
The Dirty Secret of SSDs: Embodied Carbon
Swamit Tannu, Prashant J. Nair
Scalable Solid-State Drives (SSDs) have ushered in a transformative era in data storage and accessibility, spanning both data centers and portable devices. However, the strides mad…
Accelerating Simulation of Quantum Circuits under Noise via Computational Reuse
Meng Wang, Swamit Tannu, Prashant J. Nair
To realize the full potential of quantum computers, we must mitigate qubit errors by developing noise-aware algorithms, compilers, and architectures. Thus, simulating quantum progr…