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	<title>WG11/M23Johnson - Revision history</title>
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	<updated>2026-04-05T19:30:43Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>http://mw.hh.se/wg211/index.php?title=WG11/M23Johnson&amp;diff=2590&amp;oldid=prev</id>
		<title>Geoff: Created page with &quot;A quantum computer is a collection of n qubits, which form a basis for a complex vector space of dimension 2^n.  A quantum computation can be viewed as a Unitary matrix acting...&quot;</title>
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		<updated>2024-03-24T16:43:42Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;A quantum computer is a collection of n qubits, which form a basis for a complex vector space of dimension 2^n.  A quantum computation can be viewed as a Unitary matrix acting...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;A quantum computer is a collection of n qubits, which form a basis for a complex vector space of dimension 2^n.  A quantum computation can be viewed as a Unitary matrix acting on the qubits.  Quantum algorithms correspond to factorizations of unitary matrices into a sequence of gates (often 2x2 or 4x4 unitary matrices).  Algorithms can be derived by factoring a given unitary matrix, or a family of matrices, into a product of gates.  Alternative factorizations provide algorithmically equivalent choices which can have different costs. In this talk, we derive factorizations of the Discrete Fourier Transform (DFT) matrix into a product of gates and formally verify that the mapping to gates is correct using the Coq proof assistant.&lt;/div&gt;</summary>
		<author><name>Geoff</name></author>
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