Research Software

I develop open-source software to support research in Quantum Computing, Blind Quantum Computation, Quantum Homomorphic Encryption, and Secure Delegated Quantum Computing. My software aims to bridge the gap between theoretical cryptographic protocols and practical implementations using modern quantum programming frameworks.

Featured Project

## BlindTranspiler **BlindTranspiler** is an open-source Python framework that automatically converts standard quantum circuits into secure delegated quantum computation circuits. It provides a unified interface for multiple secure delegated quantum computing protocols while integrating seamlessly with **Qiskit**.

GitHub Repository Documentation Zenodo

Features

## Universal Blind Quantum Computation Implements secure delegated quantum computation using recursive arbitrary rotation gates.

## Quantum Homomorphic Encryption Supports execution of quantum circuits directly on encrypted quantum data.

## Qiskit Integration Works directly with Qiskit circuits without requiring modifications to existing quantum programs.

## Automatic Circuit Translation Transforms standard quantum circuits into blind quantum circuits automatically.

## Multiple Protocols Supports UBQC, FDQC, SSDQC, and Quantum Homomorphic Encryption.

## Open Source Released under the Apache 2.0 License and available on GitHub.

Installation

pip install blind-transpiler

or install the latest development version:

git clone https://github.com/joshiCoding/blind_transpiler.git

cd blind_transpiler

pip install -e .

Example

from blind_transpiler import BlindTranspiler

transpiler = BlindTranspiler(protocol="ubqc")

blind_circuit = transpiler.transpile(circuit)

Software Architecture

The package consists of several major modules:

Controllers
Translators
Blind Quantum Protocols
Homomorphic Encryption
Universal Blind Quantum Computation
Utility Functions

The modular architecture allows researchers to easily extend the framework with new secure delegated quantum computation protocols.

Applications

BlindTranspiler can be used in research involving:

Blind Quantum Computation
Secure Delegated Quantum Computing
Quantum Homomorphic Encryption
Quantum Searchable Encryption
Quantum Cloud Computing
Resource Estimation
Quantum Compiler Research
Quantum Cryptography

Publications

The following publications describe the theory behind BlindTranspiler.

### Universal Blind Quantum Computation with Recursive Rotation Gates Quantum Information Processing (2026)

PDF DOI

### Quantum Computing on Encrypted Data with Arbitrary Rotation Gates Physica Scripta (2026)

PDF DOI

### Impact of Hardware Connectivity on Grover’s Algorithm in the NISQ Era Quantum Information Processing (2025)

PDF

### Leveraging Grover’s Algorithm for Quantum Searchable Encryption in Cloud Infrastructure and its Application in AES Resource Estimation International Journal of Theoretical Physics (2024)

PDF

Development Roadmap

Python Package (Completed)
GitHub Repository (Completed)
Documentation Website (Completed)
Zenodo Archive (Completed)
PyPI Release
Benchmark Suite
Verification Module
IBM Quantum Runtime Integration
PennyLane Backend
Cirq Backend

Contributing

Contributions from researchers, students, and developers are welcome.

If you are interested in extending BlindTranspiler or implementing new secure delegated quantum computation protocols, please feel free to open an issue or submit a pull request on GitHub.

Citation

If you use BlindTranspiler in your research, please cite the associated journal publication.

View Publications