Amazon’s Braket Quantum Cloud Service Now Open For Business

By Patrick Moorhead - September 3, 2020
Amazon Braket: AWS Quantum Computing Service

Since late 2019, Amazon Braket has been in private preview. However, Amazon AWS recently announced its general availability. Customers can purchase quantum computing services directly from the Amazon Braket platform. 

Amazon named the service after a standard quantum notation called Bra–ket that was created in the late 1930s by Paul Dirac, a famous theoretical physicist. 

Braket is a fully managed AWS service that provides a mostly technology-agnostic environment. It offers customers the capability to design, develop, test, and run their quantum algorithms. Braket also offers simulated quantum computers that use Amazon EC2 computing resources and can simulate up to 34 qubits for testing and troubleshooting algorithms. 

For now, the service is currently available in the following AWS regions: US East (N. Virginia), US West (N. California), and US West (Oregon).  

Quantum processors

Braket offers a choice of three different quantum hardware technologies.

Amazon Braket

Each piece of quantum hardware can be accessed via Braket but resides on each respective provider's premises. Once a  customer is satisfied that their quantum algorithms are complete, they can run them on their choice of three different types of quantum hardware.

The Amazon Braket quantum hardware providers are:

  • Rigetti Computing provides a gate-based, quantum processor using  30 superconducting qubits that operate at cryogenic temperatures. Superconducting qubits are a mature technology with easy coupling, electronic control, and fast gates. It is the most commonly used quantum technology.
  •  IonQ provides a gate-based trapped ion quantum computer with 11 qubits. Individual ions, held in a vacuum via an electromagnetic trap generated by surrounding electrodes, use laser pulses to perform gate operations. It has relatively long coherence times and excellent connectivity. 
  • D-Wave runs a quantum annealing processor with 2048  qubits. Quantum annealing uses a physical process to find a low energy configuration that encodes the solution of an optimization problem.  Note: You cannot make a qubit-to-qubit comparison between quantum annealers and gate-based machines. They are different technologies.


Braket's pricing structure has two components - a per task fee and a per shot fee. There is also an hourly rate for using the Amazon Braket managed quantum simulator.

Amazon Braket defines a task as repeated shots (runs) based on the same circuit design or annealing problem.  There is a level per-task pricing for D-Wave, Rigetti, and IonQ. 

Shots have variable pricing. Think of a shot as each time an algorithm runs.  D-Wave, Rigetti, and IonQ all have different per shot rates.

Keeping it in perspective

Amazon Braket isn't the only quantum cloud service.

IBM has a massive fleet of 22 superconducting quantum computers.  In 2016, IBM was the first company to put a quantum computer online.  In addition to offering a premium service, most of IBM's quantum systems are publicly available, along with complete tutorials and a large library of useful algorithms.  According to IBM, billions of quantum circuits are run each month on its network.

Microsoft Azure Quantum offers a similar cloud service to Braket. However, its platform is still in preview by a select group of customers. It is not available for general use.  The Azure platform offers diverse trapped ion technologies from Honeywell Quantum Solutions and IonQ, plus superconducting hardware from  Quantum Circuits, Inc. (QCI). Honeywell recently announced it has the most powerful quantum computer in the world, with a quantum volume of 64.

Although the quality of qubits is an important factor, the number of qubits by itself doesn't tell the entire performance story. There is no current standard performance benchmark for quantum computers. In the interim, quantum volume is an appropriate measurement for gate-based quantum computers. It is hardware-agnostic and takes into account the number of qubits, connectivity, and gate and measurement errors. Additionally, and equally important, its numerical simplicity makes quantum computing more understandable to the general public, corporate management, and investors. Unfortunately, although it would be interesting, very few companies are publishing their quantum volume numbers.

Keep in mind that we are still in an experimental era of quantum computing. For the most part, a classical computer can do anything a quantum computer can do. 

Still, quantum cloud computing provides expanded global access to the technology. It allows customers, students, and researchers to begin learning and planning for the future. 

There will be a time, perhaps in 10 to 20 years, maybe sooner with some technologies we have seen on roadmaps, when quantum applications will be an integral part of our daily lives. Then, quantum computers will have the capability to solve major scientific, financial, and medical problems of tomorrow.

Note: This analysis contains content from Moor Insights & Strategy President & Principal analyst Patrick Moorhead.

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Patrick founded the firm based on his real-world world technology experiences with the understanding of what he wasn’t getting from analysts and consultants. Ten years later, Patrick is ranked #1 among technology industry analysts in terms of “power” (ARInsights)  in “press citations” (Apollo Research). Moorhead is a contributor at Forbes and frequently appears on CNBC. He is a broad-based analyst covering a wide variety of topics including the cloud, enterprise SaaS, collaboration, client computing, and semiconductors. He has 30 years of experience including 15 years of executive experience at high tech companies (NCR, AT&T, Compaq, now HP, and AMD) leading strategy, product management, product marketing, and corporate marketing, including three industry board appointments.