With its announcement of quantum computer Jiuzhang, China puts itself on the global map of quantum technology. As, China and the USA lead the global race in quantum technology, other developed nations are slowly following this pursuit by investing significant intellectual and fiscal resources. Recently, in collaboration with AWS, the Ministry of Electronics and Information Technology (MeitY) announced to establish a Quantum Computing Applications Lab in India.

This will be the world’s first quantum computing applications lab on AWS, supporting a national government’s mission to drive innovation. MeitY assures that this initiative will also accelerate quantum computing-led research and development and enable new scientific discoveries, by inviting applications from researchers and work with subject matter experts. The lab will then provide select applicants with access to quantum computing hardware, simulators, and programming tools, on-demand and at no cost, under the Amazon Braket program.

Amazon Braket program provides a development environment where users can explore and design quantum algorithms, test and troubleshoot them in quantum computers simulations, and run them on different quantum hardware technologies.

What’s unique about Quantum Computers?
Today’s classical computers manipulate individual bits that store information as binary 0 and 1 states. But quantum computers leverage quantum mechanical phenomena to drive information via qubits. Apart from binary values of ‘0’ and ‘1’, qubits have a third state called superposition, which simultaneously represents a ‘0’ or a ‘1’. Instead of analyzing a one or a zero sequentially, superposition allows two qubits in superposition to represent multiple scenarios at the same time. Additionally, qubits are also capable of pairing, which is known as entanglement. Here, the state of one qubit cannot be described independently of the state of the others – thus allowing instantaneous communication.

India’s Strategic Initiatives so Far
It is well-known that quantum computing can propel the development of new breakthroughs in science and lay the foundation for high computational capabilities. Apart from the USA and China, nations like Japan, Germany, Singapore and Canada have all announced ambitious schemes to boost quantum computing programs. Even the European Commission isn’t far behind. In the last budget session, the Indian Government had announced to invest US$1.12 billion in quantum computing research over the next five years. Finance minister, Nirmala Sitharaman, mentioned that this scheme would boost the research for technology under the National Mission of Quantum Technology and Application project. In the year before, the Department of Science & Technology (DST) had set up a research project named Quantum-Enabled Science & Technology (QuEST) with allocation of US$11.2 million (₹80 crores) in funding, at International Institute of Information Technology (IIIT)-Hyderabad.

As per official sources, the MeitY Quantum Computing Applications Lab will offer Quantum Computing-as-a-Service to government ministries and departments, researchers, scientists, academia, and developers to enable advances in areas like manufacturing, healthcare, agriculture, and aerospace engineering. As per the agreement, MeitY says this new lab will take inputs from Central and State governments, Research Institutions and Academia to identify problem statements in quantum computing. Nonetheless, it is still unclear whether this initiative falls under the National Mission on Quantum Technologies and Applications. But according to the President and CEO of the National e-Governance Division (NeGD), Abhishek Singh, this initiative will certainly augment India’s ongoing efforts in developing quantum computing applications.

Meanwhile, MeitY’s Secretary, Ajay Sawhney, is confident that quantum computing will play a key role in scientific advancements and learning. He said, “India has a rich legacy in science, technology, and innovation. We believe that India’s path forward will be driven by achieving world-class scientific solutions”.

It’s not the first time that an Indian institute will play a key role in boosting quantum computing development. For instance, Indian Institute of Science Education and research, Mohali, Punjab has done exemplary work on Photonic quantum memory. Even the study on Optimization of Circuits for qubit Quantum Computers by Jaypee Institute of Information Technology, Noida is also encouraging. Bengaluru-based QuNu Labs is India’s first company working in quantum cryptography.

“Our collaboration with MeitY to establish the Quantum Computing Applications Lab will provide the breadth and depth of AWS services to the research, academic, and scientific community to overcome these challenges and focus on innovation,” says Rahul Sharma, President, Public Sector – AISPL, AWS India and South Asia.

What Is Amazon Braket?

Amazon Braket is a fully managed AWS service designed to help developers and researchers get started with quantum computing. It provides a unified environment that combines quantum algorithm design tools, classical simulators, and access to real quantum hardware — all within the familiar AWS ecosystem.

Rather than requiring teams to negotiate access with individual quantum hardware vendors, set up bespoke infrastructure, or write custom integration code for each processor type, Amazon Braket abstracts that complexity behind a single, consistent developer experience.

The Problem It Solves

Quantum computing still presents significant access barriers. As AWS noted in its launch statement:

“Today, making meaningful advances in quantum computing requires organisations to develop in-house expertise and seek out access to limited quantum hardware. Researchers who are interested in experimenting across a range of quantum hardware and technologies need to set up and manage the necessary infrastructure, negotiate access with multiple vendors and write custom code to interface with different quantum processors.”

Amazon Braket addresses these friction points directly by consolidating simulator access, hardware selection, and workflow management under one service.

Key Features of Amazon Braket

Familiar Developer Tooling

Developers can access Amazon Braket using Jupyter notebooks with pre-installed SDKs and developer tools. This makes it straightforward to design quantum algorithms, visualise results, and collaborate with other team members — without having to install and configure a separate quantum development environment from scratch.

Algorithm Design: Custom or Pre-Built

Amazon Braket offers cross-platform developer tools that support two approaches:

• Custom algorithm design — Write your own quantum circuits and algorithms using the Braket SDK.
• Pre-built algorithm library — Select from a growing library of ready-made quantum algorithms for common use cases, reducing the barrier to experimentation.

Simulation on Amazon EC2

Before committing a workload to real quantum hardware, developers can run, test, and troubleshoot their algorithms on quantum computer simulators backed by Amazon EC2 compute resources. This allows rapid iteration without incurring the latency or cost of physical quantum hardware jobs during development.

Access to Multiple Quantum Processors

When an algorithm is ready for hardware execution, Amazon Braket provides access to quantum processors from multiple manufacturers, each using a different underlying technology:

• D-Wave — Superconducting quantum annealers, suited to combinatorial optimisation problems.
• IonQ — Trapped ion processors, known for high gate fidelity and all-to-all qubit connectivity.
• Rigetti — Superconducting gate-based quantum processors.

Developers can switch between these hardware backends without renegotiating vendor contracts or rewriting integration code, since Braket’s unified API abstracts the differences between processor architectures.

Hybrid Quantum-Classical Algorithms

Amazon Braket also supports hybrid algorithms — workloads that combine quantum and classical computing steps. This is practically important because today’s quantum hardware (often called Noisy Intermediate-Scale Quantum, or NISQ, devices) has limitations in qubit count, coherence time, and error rates. Hybrid approaches use classical compute to handle the parts of a problem that quantum hardware cannot yet tackle efficiently, while delegating specific sub-problems to the quantum processor.

Why This Matters for DevOps and Cloud Engineering Teams

Bill Vass, Vice President of Technology at AWS, framed the strategic rationale clearly:

“The cloud will be the main way that customers access quantum computers and combine those systems with high-performance classical computing for certain types of computationally-intensive research.”

For DevOps and platform engineering teams, Amazon Braket introduces a quantum computing workload type that can be managed using the same IAM roles, CloudWatch monitoring, and infrastructure-as-code patterns already used for classical AWS services. Teams evaluating future compute strategies — particularly in areas like cryptography, optimisation, drug discovery, or financial modelling — can begin building internal quantum expertise without standing up dedicated on-premises quantum infrastructure.

Quantum Computing Fundamentals: A Brief Recap

Quantum computing leverages principles from quantum mechanics — specifically superposition and entanglement — to process information in ways that differ fundamentally from classical bit-based computation. For certain problem classes (optimisation, simulation of quantum systems, factoring large numbers), quantum algorithms can theoretically achieve exponential speedups over classical approaches. However, practical, fault-tolerant quantum hardware at scale remains an active area of research, which is why services like Amazon Braket focus on enabling experimentation and research rather than production quantum workloads today.

Amazon Braket Overview Video

Summary

• Amazon Braket is a fully managed AWS service for quantum computing experimentation.
• It provides a unified SDK and Jupyter-based environment for algorithm design and testing.
• Developers can simulate workloads on EC2 before running them on real quantum hardware.
• Supported hardware backends include D-Wave (annealing), IonQ (trapped ion), and Rigetti (superconducting gate-based).
• Hybrid quantum-classical algorithms are supported to work around current NISQ hardware limitations.
• The service is aimed at teams wanting to build quantum expertise within a familiar cloud-managed framework.