Cloud Based Quantum App Development: An In-Depth Guide

Nowadays, businesses rely on machine learning and big data analytics to predict their success. Cloud based quantum app development has changed the imagination of companies.

These nascent technologies have changed the “Impossible” mindset to “Possible”. That’s why every online application amasses data over the internet to market its services & get a high ROI.

In addition, resources say that roughly 2.5 quintillion bytes of data are collected each day from the internet. Consequently, it requires supercomputing machines as a substitute for classical computers that process data as 1’s or 0’s.

cloud based quantum app development

Quantum apps are born when the quantum computing & software application development process is merged. Quantum computing concepts follow this whole app development process to get a future lead but robust application that can process vast amounts of data.

These quantum apps are then deployed on cloud technologies (Google Cloud, AWS, or Azure) called “cloud based quantum apps“, while the whole process is called cloud based quantum app development.

Here are some facts and data on the future of developing quantum applications.

Quantum App Development Trends

The quantum computing market is expected to grow by $8.6 billion by 2027. This market size was around $412 million in 2020. Moreover, quantum app development is also expected to grow exponentially by 2025 when most companies are shifting to quantum computing.

A lot of companies around the globe are working on quantum application development including IBM, Google, Microsoft, and XANADU. These corporations are spending millions on research for the cutting-edge quantum app epoch. Meanwhile, it’s critical to comprehend what cloud-based quantum app development entails.

Quantum App Development For Cloud: What is it

It’s one of the enormous inventions in the 21st century, where quantum computers will process large datasets in a few instances. Quantum computing will allow businesses to access and process data using cloud technologies.

The cloud-based quantum computing will enable access to quantum computers without investing money and purchasing your own. These quantum machines are known as the fastest computers on the planet and solve cryptography and analytical problems which a traditional computer cannot.

It’s straightforward most companies, including IBMAmazon, and Microsoft, are implementing quantum computing architecture on clouds. The ideology of deploying quantum computers in the cloud is to serve on demand.

For instance, by doing classical tasks on traditional computers. In contrast, the quantum part is submitted to the cloud (invoking Quantum Cloud Service) to process and get fruitful results in less time. Consequently, that’s a logical reason to develop a quantum app on the cloud.

quantum app development for cloud

What Benefits Does A Quantum App On The Cloud Offer?

In the digital world, cloud computing is emerging as an exponentially growing field, so integrating quantum computing will make it even more powerful to the world. We have listed a few benefits which a cloud-based quantum app will offer to businesses:

  1. Best For Simulation: Quantum apps will be great tools for simulation as they can propose solutions for complex mathematical problems that a traditional computing machine can’t. The simulators have imitated everything, including decoding cryptography encryptions, big data processing, room temperature superconductor, and more.
  2. System Agility: Agility makes these systems unique in contrast to classical computing. The application designed on this architecture is called Quantum apps. They inherit system agility to manipulate real-world problems by forecasting on train/test datasets.
  3. Computability: Quantum applications are capable of tremendous computation. Quantum machines have modeled complex molecular structures and improved artificial intelligence and machine learning optimization problems. Additionally, these systems are employed to solve problems using a dynamic programming approach.
  4. Demands Less Power: As I mentioned above, these applications use quantum computers as a service through cloud technologies and implement quantum tunneling techniques to process enormous datasets. It results in less power consumption and contributes to saving system costs. 
  5. Cost Savings: Quantum apps save additional software or hardware costs. It can either be money or workplace efficiency to save time on deliverables. For instance, the IBM Q experience permits access to their quantum network against $1.60 per runtime. It charges according to the Pay-As-You-Go policy. 

In the meantime, let’s discuss the different cloud based quantum computing service providers.

Companies Offering Quantum Cloud Services

The quantum computing field is rapidly growing, with tens of thousands of firms developing quantum apps using this technology. These companies aim to create quantum solutions that transform traditional ways the information is resourced and processed.

1. IBM: IBM Quantum System One

IBM (International Business Machines) is the world’s largest quantum computing and quantum system engineering company. IBM Quantum System One program is an on-site quantum computing system installed in Germany and Japan that enables affordable access to quantum technologies. In addition, the system has a 27qubit falcon processor with a quantum volume of 32.

IBM Quantum System One also has a network of 20 interconnected clouds that can be accessed by internet. It allows developers, small businesses, and enterprises to connect cloud-based quantum computers against pay-as-you-go plans.

IBM quantum system one

2. Google: Google Quantum AI

Google has contributed a lot to the quantum computing field in recent years. It developed a wide range of software as well as hardware technologies. Google offers quantum computing services as software as well as hardware integrations as listed:

  • Software Technologies: Cirq, OpenFermion, qsim, and TensorFlow Quantum.
  • Hardware Technologies: Quantum Computing Services, Weber quantum computer

Considering nascent technology as the future of everything. Google has collaborated with IonQ to integrate ion-trap quantum computing support on a google cloud marketplace. It’ll allow accessing quantum machines and circuits through IonQ-incorporated gate-based APIs.

Google quantum AI

3. Amazon Web Services: Amazon Braket

Like Google, Amazon is growing dramatically in cloud-based quantum computing with a service called Amazon Braket, which is part of the Amazon AWS suite. It allows access to powerful AI-automated quantum machines and charges according to hardware, simulators, Hybrid jobs, and CPU family usage.

Amazon offers a diverse range of pricing for the ease of developers to develop and deploy cloud-based quantum applications.

4. Microsoft: Azure Quantum

Azure is the third largest cloud network after Google Cloud Platform (GCP) and Amazon Web Services (AWS). It provides a flexible environment to create quantum apps using Q# from scratch with additional support from Cirq and Qiskit.

Azure delivers a trusted, scalable, and secured cloud platform to developers. In addition, Microsoft has partnered with leading quantum hardware development companies to deliver seamless cloud-based support to quantum app developers.

  • Quantinuum H1 Powered by Honeywell
  • IONQ Trapped-ion quantum computer
  • Quantum Circuits, Inc
  • Rigetti Quantum Cloud
Microsoft Azure quantum

5. XANADU: XANADU Quantum Cloud

XANADU– Toronto-based Canadian cloud computing company is known for the best quantum app development services around the globe. They allow developers to build, experience, execute and manage cloud based quantum apps.

Moreover, they’ve got a broad spectrum of off-the-rack APIs for data analysis and visualization in support of advanced machine and deep learning technologies.

The aforementioned technology giants are struggling to innovate the quantum computing field because it’s an excellent vision for a better future. Anyhow, without wasting our time. Let’s understand the development process of cloud-based quantum apps. To achieve our success and get a potential quantum app, we will be using Microsoft Azure.

XANADU quantum cloud

Cloud Based Quantum App Development: The Process

As technology evolves, businesses are enquiring about it out of the box—something which will significantly impact customer acquisition. In the meantime, quantum mechanics has become the hope of everyone for better and more accurate results.

In software development, quantum apps work more efficiently than conventional ones. So, I’ll explain the process silicon valley startups use to develop a quantum app deployed on Azure servers.

The quantum application development process starts with an open-source programming language by Microsoft called Q#. It has the same syntax as Python, C#, or F#. Q# was explicitly designed to program quantum computers.

It’s part of a quantum development kit or QDK, which creates quantum simulator instances and passes Q# code to execute. Let’s understand this process in steps:

  1. Write Quantum Code: A simple program logic is converted to Q# code in the first step of the quantum application development process. Jupyter notebook with additional Q# libraries can be used for this purpose. But, if you don’t have a locally installed Azure quantum workspace that has built-in tools and an integrated Jupyter notebook to write scalable and testable code.
  2. Use Domain-Specific Libraries To Keep Code High Level: At this stage, the programmer has to decide and include their project-related libraries. These libraries are standard template libraries of Q#, creating efficient but domain-agnostic algorithms. In addition, built-in libraries create bug-free but ready-to-executable code. Here’re some useful Q# libraries.
    1. Quantum Machine Learning Library
    2. Quantum Numerics Library
    3. Quantum Chemistry Library
    4. Quantum Simulators Library
  3. Integrate With Conventional Software: In this process, the above-created Q# module is integrated with conventional libraries or software like Python or .Net. Why? Because quantum computers are used when extensive computing resources are REQUIRED.
  4. Testing and Degugging: Software testing and debugging are performed in the same fashion as we do for conventional applications. There isn’t any rocket science!!
  5. Run/Execute Quantum Code in Simulators: Once you have completed the development and testing process of your quantum app. The QDK offers a set of quantum simulations that execute the Q# code. Quantum simulators are nothing but classical piece of software that simulates the behavior of a quantum machine. Basically, simulation software estimates the application resource utilization.
  6. Estimate Resources: This process of resource estimation is completed by a QDK resources estimator. The estimator checks the hardware resources of the quantum computer the app utilizes. Finally, after deep job analysis, it generates a request for quantum hardware.
  7. Execute Code on Quantum Hardware: Now, the job is submitted to Azure quantum services for quantum app execution. It requests resources from remote quantum computer service providers via the Azure cloud.

Azure quantum services equip a wide range of quantum solutions such as quantum simulators, quantum hardware, and more.

How Unicon Companies Will Assist In Cloud Based Quantum App Development

One interesting thing is that quantum mechanics and physics rules are changing application development. Although it’s getting well-known, it’s also challenging to acquire a company for developing quantum apps.

Conventional software development is more comfortable than the emerging cloud based quantum app development. However, software solution development firms are continuously taking input and updating their services as technology is arising.

Stay in the Loop

Get the daily email from Algoideas that makes reading the news actually enjoyable. Join our mailing list to stay in the loop to stay informed, for free.

Latest stories

- Advertisement -

You might also like...