Research Fellow (Quantum Circuits)

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

Nanyang Technological University Singapore is seeking a Research Fellow to join its Quantum Solutions team. Focused on deploying geometrically-designed algorithms, the role involves developing quantum circuits and executing them on quantum hardware. Candidates should have a PhD in mathematics, physics, or computer science and at least one year of relevant experience, alongside strong programming and communication skills. This position provides a unique opportunity to work closely with Prof. Marek Gluza.

Qualifications

• PhD degree required in a relevant scientific field.
• 1+ year experience in executing quantum circuits on hardware.
• Strong analytical and numerical skills essential.

Responsibilities

• Provide code in Python or Julia for gate counts in Qrisp.
• Validate low energy state preparation feasibility.
• Execute quantum circuits and supervise data analysis.

Skills

Experience with quantum circuits

Programming in Python or Julia

Communication skills

Mentoring junior peers

Education

PhD in mathematics, physics, computer science or related field

Tools

Quantum computing SDKs

Job description

Research Fellow in “Deploying geometrically‑designed algorithms”

The Nanyang Quantum Solutions team led by Prof. Marek Gluza at NTU Singapore is seeking a new member to tailor quantum circuits based on geometrically motivated approaches capable of preparing cold quantum many‑body states with not too many operations so prototypes of quantum computers can run these. This is a postdoc position, you must have a PhD degree.

With whom? With Prof. Marek Gluza at NTU Singapore who is eager to debate with you whether double‑bracket quantum algorithms or a different approach are the right one when executing on Helios or Heron. The research group is being formed and see https://marekgluza.github.io/ for the intended culture centered on the idea of serving experimental efforts through theoretical support developing quantum middleware solutions.

Key Responsibilities

• Provide computer code in python or Julia to get actual gate counts in Qrisp after optimization which will improve beyond analytical upper bounds based on triangle inequalities with the goal to bring down resource estimates to the hardware level.
• Validate feasibility of low energy state preparation for 2d models on commercially available hardware (Helios of Quantinuum or IBM Heron) and liaise with providers using neutral atoms.
• Execute quantum circuits on quantum hardware based on prior experience deploying the full quantum computing pipeline starting from the theoretical discussions, to supporting your junior peers and all the way to supervising research assistants in finalizing data analysis.
• Apply state preparation algorithms to FeMoCo molecules and extract physical properties e.g. contained in 1‑body reduced density matrices.

Job Requirements

• PhD in mathematics, physics, computer science or related field
• At least 1 year of relevant experience in similar role or technical hands‑on experience in executing quantum circuits on quantum hardware
• Familiarity with standard quantum computing SDKs
• Excellent written and oral communication skills
• Proficiency in programming languages, numeric and analytical skills
• Competent in proactively mentoring junior and fellow peers
• Ability to work independently, develop solutions under strict timelines, meticulous and eye for details, excellent organizational and time management skills.