Qubit

Superconducting Qubits Introduction and Background The quantum computation has remarkably improved since the use of quan- tum algorithms that have a run time which is exponentially faster compared to classical algorithms. Implementation of theory for practical computation presents various technological and scientific challenges. It is required that the Qubits be entirely free from external noise while at the same time they need to be strongly coupled amongst themselves using gates for computa-

mechanical effects create states of +1 and -2 charges from a magnetic spin and the charges rely on what the qubit wants to do. Later on, we have to make a coupler before the quantum processor has been made. To have a multi-qubit processor, qubits have to be connected using couplers. How couplers work is, there is a series of rectangles and there is coupling elements inside those rectangles that allow qubits to transfer and share information. Now that the coupler is made, the next process is manufacturing

My topic is quantum computing. We can say that quantum computers are likely to move out of science fiction and research labs and into practical applications. A quantum computing is way faster than a normal pc. Google already have one and make many test online. A quantum computer is a new complex technology. This computer is not available for us yet. This new engine represent a lot of new possibility for us. Some person tell that the teleportation would be available, but this is too far. Old computers

“N” number of qubits is described by a unit vector C^2⊗C^2⊗…⊗C^2 repeated “N” number of times each C^2 is the space of one single qubit with the basis |0> and |1> the space is denoted by B^(⊗n) the basis state for the space are all products of the form |X_1>⊗|X_2>⊗…⊗|X_n> while X is an element of a real number of zero or one. Having these basis states the N-qubit system can be represented in the form ∑_(〖xϵ{0,1}〗^n)▒〖a_x |x>.〗 Example 1: We have a quantum system composed of 2 qubits we can then write

system, [SOURCE]Choi et al. are able to use trapped ions as qubits in an optical quantum computer. As a direct result, unique possibilities for addressing scalability issues are discovered. Since trapped ions already have fundamentally low levels of coherent error, suppression of that error in a scaled quantum computer requires significantly less error correction. Also, the group demonstrates an architecture in which more than two entangled qubits could be addressed simultaneously, further expanding the

requirements for various applications, an important technological development is to increase the number of available entangled qubits. In particular, measurement-based quantum computation (MBQC) requires the cluster type of a large-scale entangled state,4,5 where individual components of the cluster state must be accessible by measuring devices. The number of entangled qubits with individual accessibility seems to be currently limited to a moderate scale.6–8 Shifting to the continuous variable

During my childhood days, every single time it rained, I would wait just to hear the thunder. Every lightning strike was so powerful with its terrifying sound, yet it worked with the same principle that explained the bits of paper clinging to a charged fur cloth rubbed on a cat. It was very enchanting for me to learn that all the extreme and massive events which took place could be explained by the same laws which govern our daily experiences. Learning physics would unravel the nature of these events

requires use of large amounts of auxiliary qubits (aka. ancillae). Further fault-tolerance is achieved by applying the error correction codes recursively (in levels) [9], exponentially increasing overhead and reducing fault probability. Due to these error correction schemes, a single logical qubit is represented by multiple physical qubits. As an example, a single logical qubit at two levels of recursion is represented by 49 [10] or 81 [11] physical qubits, depending on the error correction code used

Quantum Computing and Its Relation to Computer Science I have decided to write my paper on Quantum Computing. This is a difficult subject for me to wrap my head around, however I feel it is a very important field to look into more closely. Quantum Computing relates to the studies I have chosen, in the fact that it is actually a field that could potentially change Computer Science as it is known today. This could affect me in unforeseen ways, and I feel I need to know about it in order to

companies like google, Intel and IBM have started to or have increased their resources and manpower on making quantum computing a reality. In 2014 John Martinis and his colleagues at the University of California, Santa Barbara were working to make qubit gates more reliable and controllable. During their research and experimentation, they got a fidelity of