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20232026
most citedEfficient tensor network simulation of IBM's largest quantum processors

63 citations · 69 across the 3 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Hybrid Quantum--Classical Pauli-Correlator Architecture for Image Reconstruction

Sparsho Chakraborty, Siddhartha Patra

We introduce the Pauli-Correlator Autoencoder (PCAE), a hybrid quantum--classical architecture for image reconstruction. PCAE splits an image into patches and compresses each patch…

quant-ph2026

Spin SYK-dot chains: entanglement bound and resource estimates towards a quantum advantage

Sayantan Dey, Abel Carreras, Siddhartha Patra

Ground states of Sachdev-Ye-Kitaev (SYK)-type models are volume-law entangled, which makes them costly both for tensor networks and for quantum hardware simulations. Thus, it remai…

quant-ph2024

Hacking Cryptographic Protocols with Tensor Network Attacks

Borja Aizpurua, Siddhartha Patra, Josu Etxezarreta Martinez +1

Here we introduce the application of Tensor Networks (TN) to launch attacks on symmetric-key cryptography. Our approaches make use of Matrix Product States (MPS) as well as our rec…

cond-mat.str-el2024★ 6 cited

Projected Entangled Pair States with flexible geometry

Siddhartha Patra, Sukhbinder Singh, Román Orús

Projected Entangled Pair States (PEPS) are a class of quantum many-body states that generalize Matrix Product States for one-dimensional systems to higher dimensions. In recent yea…

quant-ph2023★ 63 cited

Efficient tensor network simulation of IBM's largest quantum processors

Siddhartha Patra, Saeed S. Jahromi, Sukhbinder Singh +1

We show how quantum-inspired 2d tensor networks can be used to efficiently and accurately simulate the largest quantum processors from IBM, namely Eagle (127 qubits), Osprey (433 q…