Mostafizur RahamanQuantum Signal & Information Processing
Portrait of Mostafizur Rahaman

Mostafizur Rahaman

  • Researcher, KTH Royal Institute of Technology, Sweden
  • Research Scientist, IBM Quantum — on sabbatical
  • Visiting Scientist, RIKEN Center for Quantum Computing, Japan

Work with me

I enjoy mentoring students and early-career researchers on focused problems in quantum algorithms, quantum information processing, and hardware-aware quantum computing.

My mentorship has included formal IBM Research internships, the IBM Quantum Global Research Mentorship program, and collaborative academic projects. I usually work on problems that combine mathematical modeling, algorithm design, complexity or error analysis, and implementation using quantum software or hardware.

Mentorship & collaborative projects

IBM Research Summer Internship

Co-mentorship of interns working on utility-scale workloads, error mitigation, and Qiskit-based implementation and benchmarking.

IBM Quantum GRM

Remote mentorship of doctoral researchers through the IBM Quantum Global Research Mentorship program on quantum algorithms and hardware-oriented research problems.

Collaborative research

Joint projects with academic groups on matrix diagonalization, electronic-structure calculations, molecular and condensed-matter simulation, and quantum-centric computational workflows.

Former scholars & mentees

Yash Saxena
IBM Research Summer Internship, 2026

Ph.D. researcher in Physics, National Tsing Hua University, Taiwan. Co-mentored work on utility-scale workload knowledge bases and the Samplomatic Qiskit framework.

Tanishq
IBM Research Summer Internship, 2026

Dual-degree student, BITS Pilani Goa. Co-mentored work on error mitigation across Hamiltonian classes with Qiskit implementations.

Chayan Patra
IBM Quantum Global Research Mentorship, 2024–25

Ph.D. scholar, Department of Chemistry, IIT Bombay. Research mentorship through the IBM Quantum GRM program.

Hriday Sabharwal
IBM Quantum Global Research Mentorship, 2024–25

Ph.D. scholar, University of Southern California. Remote research mentorship through the IBM Quantum GRM program.

Mohammad Aamir Sohail
IBM Quantum Global Research Mentorship, 2024–25

QUAD Fellow and Ph.D. scholar, EECS, University of Michigan. Remote research mentorship through the IBM Quantum GRM program.

Possible directions

  • Quantum information & learning theory
    Quantum information measures, reservoir computing, weak measurement, open-system dynamics, and learning in quantum systems.
  • Near-term quantum algorithms
    Hamiltonian simulation, functional approximation, circuit compilation, error analysis, and implementations on noisy quantum hardware.
  • Quantum signal processing
    Structured operators, spectral methods, estimation, filtering, and applications in physics, chemistry, communications, sensing, and scientific computing.

Contact

KTH Royal Institute of Technologymorl@kth.se
IBM Quantumrahaman1@ibm.com