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Ph.D. Thesis - Physics

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PC04b]. In both cases, the idea differs from those mentioned above, in that rather than<br />

employing a sequence of discrete control pulses, they instead propose the creation of model<br />

Hamiltonians using a limited set of continuously-varying controls. Similar ideas have been<br />

set forth for the simulation of Bose-Hubbard models, also using trapped ions or neutral<br />

atoms [GME + 02, PC04a]. In these examples, the opportunity arises to observe whether the<br />

target system behaves qualitatively like the model system being studied for similar sets of<br />

parameters.<br />

1.3 Models of quantum simulation<br />

The quantum simulations introduced above may be divided into two distinct types, or<br />

models: in the first, of which the paper of Wu et al. [WBL02] is a fine example, a quantum<br />

simulator is prepared in some initial state and then manipulated with a set of discrete<br />

pulses, a situation akin to a digital computer. In fact, this type of simulation bears other<br />

resemblances to classical digital computation, such as the fact that error correction codes<br />

may be used [CS96, Ste96, Sho96, DS96, Got97]. We refer to this type of simulation as digital<br />

quantum simulation. The second type, which the neutral atom community has recently<br />

excelled at, involves creating an effective Hamiltonian that is controlled by continuously<br />

adjusting the relevant parameters. This type is akin to classical analog computation, and<br />

we refer to it as analog quantum simulation. This approach lends itself to more qualitative<br />

questions, such as what phase (superfluid, insulator, etc.) the particles occupy within some<br />

region of parameter space. Let us dig a bit more deeply into this distinction, because both<br />

types are of interest in this work.<br />

1.3.1 “Digital” quantum simulation<br />

Digital quantum simulations are characterized by the use of discrete quantum gates to im-<br />

plement the desired Hamiltonian. To clarify the terminology, a quantum gate is a (usually)<br />

unitary operation that is applied to some set of qubits for a finite amount of time; any gate<br />

involving more than two qubits may be decomposed into a sequence of one- and two-qubit<br />

gates. Measurement is also considered a quantum gate, and is typically assumed to be of<br />

the strong, projective variety. The weak measurements used in nuclear magnetic resonance<br />

(NMR) are a notable exception.<br />

This approach has some very appealing advantages: for one, any region of parameter<br />

space may be probed, since the interactions are entirely engineered by control pulses from<br />

the experimenter. The other very big advantage is that quantum error correction techniques<br />

may be applied, and indeed will be necessary when the system grows to a large enough size.<br />

However, quantum error correction schemes generally require a substantial increase in the<br />

required number of control pulses, increasing the likelihood that systematic control errors<br />

will reduce the accuracy of the simulation.<br />

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