274 citations
- IBM (India)IN25 papers
- IBM (United States)US15 papers
- Indian Institute of Technology DelhiIN11 papers
- Indian Institute of Science BangaloreIN10 papers
- IBM Research - AlmadenUS6 papers
- Indian Institute of Technology BombayIN5 papers
- Indian Institute of Technology MadrasIN5 papers
- IBM Research - Thomas J. Watson Research CenterUS4 papers
- Indian Institute of Technology HyderabadIN4 papers
- IBM Research - IrelandIE3 papers
- Indian Institute of Technology KanpurIN3 papers
- Indian Institute of Technology KharagpurIN3 papers
8 papers · 1 filter
Polar Codes for Erasure and Unital Classical-Quantum Markovian Channels
Jaswanthi Mandalapu, Vikesh Siddhu, Krishna Jagannathan
We consider classical-quantum (cq-)channels with memory, and establish that Arıkan-constructed polar codes achieve the classical capacity for two key noise models, namely for (i) q…
Mitigating exponential concentration in covariant quantum kernels for subspace and real-world data
Gabriele Agliardi, Giorgio Cortiana, Anton Dekusar +6
Fidelity quantum kernels have shown promise in classification tasks, particularly when a group structure in the data can be identified and exploited through a covariant feature map…
Adaptive Channel Reshaping for Improved Entanglement Distillation
Dina Abdelhadi, Tomas Jochym-O'Connor, Vikesh Siddhu +1
Quantum communication and computation heavily rely on entanglement distillation protocols. There is a plethora of distillation protocols for Pauli channels and also for some non-Pa…
Diagonalization of large many-body Hamiltonians on a quantum processor
Nobuyuki Yoshioka, Mirko Amico, William Kirby +16
The estimation of low energies of many-body systems is a cornerstone of computational quantum sciences. Variational quantum algorithms can be used to prepare ground states on pre-f…
A Survey of Classical And Quantum Sequence Models
I-Chi Chen, Harshdeep Singh, V L Anukruti +2
Our primary objective is to conduct a brief survey of various classical and quantum neural net sequence models, which includes self-attention and recurrent neural networks, with a…
An approach to solve the coarse-grained Protein folding problem in a Quantum Computer
Jaya Vasavi P, Soham Bopardikar, Avinash D +3
Protein folding, which dictates the protein structure from its amino acid sequence, is half a century old problem of biology. The function of the protein correlates with its struct…