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Quantum Computing Interview Questions
Quantum systems that are isolated from their environments such that no other system interacts with the qubits are called closed quantum systems. By contrast, a device that is subject to some amount of interaction, or noise, from its environment is an open quantum system. In general, these interactions between the system and the environment significantly change the dynamics of the system and result in quantum dissipation, such that the information contained in the system is lost to its environment.
The Quantum Development Kit provides a noise simulator for simulation of open quantum systems. This feature allows for simulating the behavior of Q# programs under the influence of noise, and also for using the stabilizer representation (also known as CHP simulation) of quantum algorithms, that is, algorithms consisting solely of CNOT, Hadamard, and phase gates.
There are two credit programs for Azure Quantum :
The default credit grant is USD 500 equivalent per provider, expressed in hardware credits. For more information on how to use these, see the Azure Quantum credits section in Create an Azure Quantum workspace.
Microsoft also offers up to USD 10,000 in credits for use on quantum hardware. To receive this credit, you can apply for the Azure Quantum Credits program.
You can find the terms of use for the Azure Quantum Credits program at this link:
Note that to use Azure Quantum Credits you must also accept the relevant usage terms for Microsoft Azure, as well as the terms from the providers you would like access to.
Azure Quantum offers various quantum solutions, such as different quantum hardware devices and quantum simulators that you can use to run your quantum computing programs. This topic has the latest capabilities available through Azure Quantum.
A Quantum Processing Unit (QPU) is a physical or simulated processor that contains a number of interconnected qubits that can be manipulated to compute quantum algorithms. It's the central component of a quantum computer or quantum simulator.
Quantum devices are still an emerging technology, and not all of them can run all Q# code. As such, you need to keep some restrictions in mind when developing programs for different targets. Currently, Azure Quantum and the QDK manage three different profiles for QPUs:
* Full : This profile can run any Q# program within the limits of memory for simulators or the number of qubits for physical quantum computers.

* No Control Flow : This profile can run any Q# program that doesn't require the use of the results from qubit measurements to control the program flow. Within a Q# program targeted for this kind of QPU, values of type Result don't support equality comparison.

* Basic Measurement Feedback : This profile has limited ability to use the results from qubit measurements to control the program flow. Within a Q# program targeted for this kind of QPU, you can only compare values of type Result as part of conditions within if statements in operations. The corresponding conditional blocks might not contain return or set statements.
Quantum computers are more elegant than supercomputers, as they are smaller and use less energy. Multidimensional quantum algorithms are run on them using qubits (CUE-bits). 
The Quantum Hardware system is quite large and mostly comprises cooling systems to keep the superconducting processor at its ultra-cold operational temperature.
Scientists and engineers use supercomputers to solve challenging issues. These are extremely powerful traditional computers with thousands of CPU and GPU cores. Even supercomputers, however, have difficulty solving some problems. If a supercomputer becomes stumped, it's most likely because it was asked to handle a problem with a high level of complexity. However, complexity is frequently the cause of failure with traditional computers.
And here comes Quantum Computers, which are designed to handle more complex problems much easier and faster than any other classic computer or supercomputer.
* While several businesses have created personal quantum computers (albeit at a high cost), there is yet nothing commercially available. JPMorgan Chase and Visa are both investigating quantum computing and related technology. Google may offer a cloud-based quantum computing service after it has been built.
* Quantum technology can also be accessed without developing a quantum computer. By 2023, IBM hopes to have a 1,000-qubit quantum computer operational. For the time being, IBM only enables access to machines that are part of its Quantum Network. Research organizations, universities, and laboratories are among the network members.
* Quantum technology is also available through Microsoft's Azure Quantum platform. Google, on the other hand, does not sell access to its quantum computers.