Quantum SDK Intel: Unlocking the Future of Quantum Computing

Overview

A full quantum computing stack in simulation is the Quantum SDK Intel. It consists of:

• An easy-to-use interface
• A toolchain for compilers
• An environment for quantum runtime that is optimized for hybrid quantum-classical algorithms
• A selection of back ends for qubit simulation

Three Ways to Try the Intel Quantum SDK

Hosted on the Intel Tiber Developer Cloud

In order to investigate hybrid quantum-classical algorithms in the context of utilizing their application on high-performance hardware, developers can access the Quantum SDK Intel through the Intel Tiber Developer Cloud.

Once you click the Get Access button below, you can access these options:

• Register for access to the free compute sandbox to start discovering what quantum computing has to offer.
• In the Developer Cloud Console, navigate to the left tabs, choose Learning, and then browse to the Quantum Computing area to access the Intel Quantum SDK using a trial account on the Intel Tiber Developer Cloud.

Use the qBraid Cloud-based Quantum Computing Platform

• qBraid’s all-in-one platform incorporates numerous quantum computing kits.
• All users of qBraid Lab come with the Quantum SDK Intel preloaded.

In a Containerized Environment

• The complete feature set is available in the Docker image for the Intel Quantum SDK, enabling developers to experience quantum programming using their local computer.
• Download the Intel Quantum SDK as a container from Docker Hub.

Features

Code in Familiar Patterns or Powerful Expressions

An LLVM-based compiler extension that offers user-friendly C++ language extensions for programming quantum algorithms is part of the Quantum SDK Intel. By simply making quantum instruction calls in an imperative approach, developers can begin creating quantum kernels.

The Functional Language Extension for Quantum (FLEQ), a part of the SDK, goes beyond the imperative paradigm. It offers strong tools that make it possible to create complicated quantum logic in a flexible and modular manner.

Efficient Running of Hybrid Quantum-Classical Workflows

You can use the speed of C++ to handle classical data and then use that data as dynamic inputs to the quantum algorithm because of the quantum runtime that comes with the Intel Quantum SDK. This generates the feedback loops required for hybrid quantum-classical workflows that facilitate optimization algorithms like the variational quantum eigensolver (VQE) and the Quantum Approximate Optimization Algorithm (QAOA).

Multiple Choices of Qubit Back Ends

Quantum computing is brought to the CPU by a series of qubit simulators, which collectively provide the means to verify algorithms that will operate on probabilistic quantum hardware.

• You can implement your quantum algorithm or hybrid quantum-classical method on a high-performance, qubit-agnostic back end using the Intel Quantum Simulator, a state-vector simulation. In the current era of Noisy Intermediate-Scale Quantum (NISQ), developers can test and validate quantum algorithms for the noisy hardware qubits using a versatile, customizable noise model. The host computer’s RAM will determine how many qubits are available overall in the simulation:

• For some kinds of quantum circuits, the tensor network back end simulates an even greater number of qubits.
• Using only a subset of the quantum gates, the Clifford simulator back end offers incredibly efficient calculations for quantum circuits.
• The physics of the quantum dot qubit technology is integrated into the qubit simulation by the Quantum Dot simulator back end. This back-end model replicates Intel’s upcoming quantum hardware.
• Use the SDK’s user-defined back end to create your own qubit simulator if you need to modify the back end to suit your requirements.

Select the implementation that best fits the stage of your algorithm and application development that you are at right now.