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
5 papers · 1 filter
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…
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka +66
We present the results of the "Fast Calorimeter Simulation Challenge 2022" - the CaloChallenge. We study state-of-the-art generative models on four calorimeter shower datasets of i…
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…
An Automatic Prompt Generation System for Tabular Data Tasks
Ashlesha Akella, Abhijit Manatkar, Brij Chavda +1
Efficient processing of tabular data is important in various industries, especially when working with datasets containing a large number of columns. Large language models (LLMs) ha…