11 papers · 1 filter
DeComp2: Description Complexity aware Decomposition
Aritra Sarkar
Quantum compilers optimize execution-only proxies such as gate count, depth, and fidelity, treating the compiled circuit as the unit of cost. This conflates two distinct resources,…
From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data
King Yiu Yu, Aritra Sarkar, Erbing Hua +3
High-fidelity circuit execution on noisy intermediate-scale quantum devices is bottlenecked by compilation pipelines that disregard complex, correlated noise. To address this, this…
EQISA: Energy-efficient Quantum Instruction Set Architecture using Sparse Dictionary Learning
Sibasish Mishra, Aritra Sarkar, Sebastian Feld
The scalability of quantum computing in supporting sophisticated algorithms critically depends not only on qubit quality and error handling, but also on the efficiency of classical…
LEGO_HQEC: Automating the Analysis, Construction, and Decoding of Holographic Quantum Codes
Junyu Fan, Matthew Steinberg, Alexander Jahn +3
Quantum error correction (QEC) is a crucial prerequisite for future large-scale quantum computation. Finding and analyzing new QEC codes, along with efficient decoding and fault-to…
ArtA: Automating Design Space Exploration of Spin Qubit Architectures
Nikiforos Paraskevopoulos, David Hamel, Aritra Sarkar +2
In the fast-paced field of quantum computing, identifying the architectural characteristics that will enable quantum processors to achieve high performance across a diverse range o…
DeQompile: quantum circuit decompilation using genetic programming for explainable quantum architecture search
Shubing Xie, Aritra Sarkar, Sebastian Feld
Demonstrating quantum advantage using conventional quantum algorithms remains challenging on current noisy gate-based quantum computers. Automated quantum circuit synthesis via qua…