1. Fujitsu Research
  2. Quantum Computing

Quantum Computing

Fujitsu believes that the organizations leading the quantum race will be those that have invested significant time in researching and developing quantum solutions to address intractable challenges within their domains. To support this vision, Fujitsu offers a comprehensive suite of technologies and solutions that integrate its world-class superconducting quantum computer, one of the world’s largest quantum simulators, and proprietary AI technologies—all accessible through a unified platform. 

Fujitsu is committed to advancing quantum computing, with the goal of building a large-scale superconducting quantum computer featuring over 10,000 physical qubits by 2030, and achieving 1,000 logical qubits by 2035[1].

Quantum Machine Learning

  • Quantum Machine Learning (QML) merges quantum computing principles with machine learning techniques to solve problems that may be intractable using classical methods alone. This includes:
  • Enhancing existing machine learning models with quantum speedup
  • Designing hybrid algorithms that combine classical and quantum computation
  • Leveraging quantum-native approaches for analyzing quantum data
  • FRIPL’s research in QML is focused on developing algorithms that can run on Fujitsu’s quantum simulators and hardware, with long-term potential for applications in optimization, language processing, and high-dimensional data analysis.

Quantum Algorithm

  • FRIPL focuses on creating quantum algorithms that are not only theoretically powerful but also practically applicable using Fujitsu’s quantum hardware and simulators. Areas of focus include:
  • Variational Quantum Algorithms (VQAs) for use in optimization, quantum chemistry, and simulation
  • Fault-Tolerant Quantum Computation (FTQC) algorithms for complex problems like database search and prime factorization
  • While many quantum algorithms promise exponential speedups, most require a large number of qubits and high circuit depth. FRIPL is actively exploring hybrid quantum-classical algorithms that can function within the limitations of current Noisy Intermediate-Scale Quantum (NISQ) devices to deliver near-term advantage.

Quantum Error Correction

Quantum Error Correction (QEC) is essential to ensure the reliability of quantum systems by addressing errors caused by quantum noise. Since quantum information cannot be copied directly due to the no-cloning theorem, QEC relies on distributing quantum states across multiple qubits and using syndrome measurements for error detection and correction.

FRIPL is researching the design and application of robust QEC codes that are critical for the transition to large-scale fault-tolerant quantum systems.

Publications

Patents

  • Improved Training of Variational Quantum Algorithms through delegation to quantum and classical resources (App. No.: 202511001799)
  • Systems and Methods for Gibbs State Generation in Quantum Circuits (App. No.: 202511000525)
  • Adversarial Learning of the Quantum Autoencoder Latent Space for Quantum Data Generation (App. No.: 202411084761)
  • Computer-implemented model selection for hybrid quantum classical neural network (App. No.: IN 202511121701)
  • Automated quantum resource estimation and optimization (App. No.: 202511119925)

Conferences

FRIPL is actively engaging with the quantum community all over the world through conferences, workshop and collaborations.

Academic Visits

  • Quantum BU head Krishnakumar Sabapathy visited Prof. Robert Wille and his research group at TU Munich, Germany. He gave an insightful overview of Fujitsu’s activities, followed by a talk on Quantum Machine Learning and potential opportunities for collaboration across academia and industry. He also had a similar engagement with the Computer Science group at Liebniz University in Hannover in the group of Prof. Christophe Hirche (who has previously visited FRIPL) and Prof. Bodo Rosenhahn.
  • Dr. Archak Purkayastha, Assistant Professor in the Department of Physics, Indian Institute of Technology (IIT), Hyderabad visited the Fujitsu Research Bangalore office on 2nd February 2026. He met with Krishnakumar Sabapathy and the quantum team, where the team discussed their current research followed by an in-depth session on Prof. Archak’s fascinating work on non-equilibrium quantum statistical physics and opportunities for future collaboration.
  • Quantum Team also hosted Dr. Phani Sudheer Motamarri, Assistant Professor in the Department of Computational and Data Sciences, IISc, at our Fujitsu Research Bangalore office on December 2, 2025. He delivered a talk titled “Accelerating ab initio Materials Simulations at Scale: From Exascale HPC to Quantum Computing, attended by members from the Quantum, AI, and Monaka teams. Krishnakumar Sabapathy had in-depth conversations with Prof. Phani on his areas of expertise and potential avenues for future collaboration with the Quantum Team.
  • Prof. Manas Kulkarni from the International Centre for Theoretical Sciences (ICTS-TIFR), Bengaluru, visited the Fujitsu Research Bangalore office on 24th October, 2025. He had an in-depth discussion with Krishnakumar Sabapathy and the quantum team on topics ranging from condensed matter physics to the practical relevance of fundamental problems in driving innovation. Quantum team members Ruchira V Bhat, Naipunnya Raj, research apprentice Aryan Prakash, visited Prof. Kulkarni’s research group at ICTS on 11th December, and Rahul Bhowmick and Krishnakumar Sabapathy joined online for a deep dive into research and collaboration opportunities, as a follow-up building on the engagement momentum.

Academic Collaboration

  • Multi-year Joint Research Agreement between Fujitsu and the Computer Science and Automation (CSA) Department at the Indian Institute of Science, Bengaluru on cutting-edge quantum algorithms
  • Dr. Shantanav Chakraborty, Assistant Professor from IIIT Hyderabad, has been awarded a research grant in FY’24 and 25 for advancing quantum algorithm research

Talks and Panels 

Invited Lectures

  • Harsh Wadhwa, from Quantum team, gave a talk on "Quantum Machine Learning: Concepts and Computational Frameworks“ as part of a lecture series on Quantum technologies organized by IIT-BHU and C-DAC
  • Naipunnya Raj, from Quantum team, gave a talk on "Introduction to Quantum Machine Learning“ as part of “Certificate Programme in Quantum Computing and Artificial Intelligence” organized by IISc Bangalore and TimesPro

Meet the team!

We are a team of passionate and driven researchers with diverse backgrounds and expertise. United by a shared commitment to excellence, we are dedicated to advancing the field of quantum computing through high-impact, innovative research. With enterprises around the world getting quantum-ready and large multi-billion dollar investments across the globe by industry and governments into quantum R&D to accelerate commercialization, quantum is going to be here for the next coming decades and we want to be at the forefront of it!

  • Meet our interns from 2025: Niharika Verma, Syed Naqi Abbas and Aryan Prakash. Niharika and Aryan continued to contribute as Research Apprentice for the next 6 months following their internship.
  • Looking for an opportunity to contribute to cutting-edge research in quantum computing? Stay tuned for the next edition of workshop by Fujitsu and internship openings in 2026.

Meet our leadership

Krishnakumar Sabapathy

Krishnakumar Sabapathy is a quantum information scientist with over a decade of post-PhD research experience across academia and industry in India, Europe, and Canada. He specializes in building practical R&D solutions across the quantum technology stack, spanning quantum theory, algorithms, applications, and software.

Currently focused on enabling enterprise and research users to harness quantum hardware effectively, Krishnakumar also contributes to advancing hardware development through deep, application-driven insights. With a no hype, impact first approach, he brings a rare combination of theoretical depth and industry relevance, especially in areas like photonic quantum computing, fault tolerant architectures, and quantum communication. His mission is to drive meaningful progress in the emerging quantum ecosystem.

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