Shruti Kalkar Email & Phone Number

Bristol, Gb

Greater Bristol Area, United Kingdom

Developed a laser power stabilisation algorithm in C++ for the DV QKD transmitter to ensure smooth key generation and enhance system stability. Collaborated closely with the Principal Photonics Engineer to ensure seamless integration and provided valuable insights throughout the development process. Designed a gradient descent algorithm in C++ and Python to reduce system phase errors during key sharing in the DV QKD system. Conducted extensive research and experimentation to explore various optimization methods, resulting in a continuous key sharing with <0.5 Quantum Bit Error Rate (QBER). Demonstrated successful implementation of an SNMP (Simple Network Management Protocol) customer interface in C++, enabling efficient sharing of key parameter information over the network. Developed a Python-based automated tool to generate files, ensuring timely delivery under strict customer deadlines. Supervised an intern in developing a multi-dimensional error correction (MDC) scheme for CV QKD systems, focusing on long-range applications. Facilitated frequent discussions and provided comprehensive project handover/documentation. Engaged in customer interactions and discussion meetings to gather product requirements and contributed constructive improvements to structure of internal technical meetings. Ensured thorough documentation of algorithm designs, facilitating knowledge transfer and future references.

Greater Bristol Area, United Kingdom

Developed Quasi-cyclic LDPC codes in Python to mitigate high bit errors in QKD protocol implementations, achieving over 7% error correction with a code rate greater than 0.5. Conducted an extensive literature review and collaborated with the team to integrate the codes into the CV QKD post-processing stack. Benchmarked the performance of the developed LDPC codes, implementing Shannon entropy and reconciliation efficiency calculations using Python. Demonstrated reconciliation efficiency of approximately 95%, aligning closely with the latest research findings.Designed a post-processing software stack for reverse reconciliation-based CV QKD system, collaborating closely with Photonics leads to incorporate hardware specifications and system parameters into the Python codebase. Validated the stack with experimental data from a real system. Managed collaborative projects and developments across QKD systems, ensuring version control using Git and Gitlab. Conducted rigorous debugging and system validation using Visual Studio Code, ensuring the quality and reliability of the software deliverables.

Bristol, England, United Kingdom

Constructed software simulation of the effect of relevant physical parameters on the key rate based on noise models of CV QKD systems, facilitating the election of appropriate hardware components and specifications. Developed software implementation of Slice Error Correction in conjunction with LDPC codes using Python, as part of information reconciliation procedure of CV QKD post processing stack.

Bristol, England, United Kingdom

Embedding QKD into protocols of OSI layers • The primary objective of this research project is to conduct a feasibility study of integrating QKD withstandardized existing telecommunication protocols.• Designing use cases for integration and benchmarking them by conducting network emulation experiments usingvirtual/real devices.

Pune, Maharashtra, India

• Developed HRBA (HR Associate detail import) module designed to manage hiring, termination and profile changes of client stores’ employees using technologies TypeScript, Spring Boot, Angular 6, etc.• Enhanced and modified the application code in accordance with the client requirements, which were intimated through regular interactions with support engineers from the US and UK.• Automated the deployment of RWS application and HRBA module using Jenkins.• Trained two batches of fresh recruits in various aspects of DevOps and provided functional knowledge of the RWS (Reflexis Workforce Scheduler) module.

Msc. Optoelectronics And Quantum Technologies

Course Work includes Quantum Information Theory, Quantum Computations, Quantum Physics, Quantum System Engineering and Quantum Device.

Certificate, Quantum Computing

In collaboration with IBM. It consists of lectures, labs, and problem sets taught live by MIT and Oxford quantum scientists. Using Qiskit.

Bachelor Of Engineering, Computer Engineering