Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman More Quantum Noise and Distance Measures for Quantum.

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Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman More Quantum Noise and Distance Measures for Quantum Information (Some of Ch8 and Ch 9) Patrick Cassleman EECS 598 11/29/01

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Outline Types of Quantum Noise –Bit Flip –Phase Flip –Bit-phase Flip –Depolarizing Channel –Amplitude Damping –Phase Damping Distance measures for Probability Distributions Distance measures for Quantum States

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Background – The Bloch Sphere Remember : The numbers  and  define a point on the unit three-dimensional sphere 

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantum Noise – Bit Flip A bit flip channel flips the state of a qubit from |0> to |1> with probability 1-p Operation Elements:

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantum Noise – Bit Flip Bloch sphere representation: –Before-After x z y

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantum Noise - Phase Flip Corresponds to a measurement in the |0>, |1> basis, with the result of the measurement unknown Operation Elements:

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantun Noise – Phase Flip Bloch vector is projected along the z axis, and the x and y components of the Bloch vector are lost

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantum Noise – Bit-phase Flip A combination of bit flip and phase flip Operation Elements:

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantum Noise – Bit-phase Flip Bloch vector is projected along y-axis, x and z components of the Bloch vector are lost

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantum Noise – Depolarizing Channel Qubit is replaced with a completely mixed state I/2 with probability p, it is left untouched with probability 1-p The state of the quantum system after the noise is:

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantum Noise – Depolarizing Channel The Bloch sphere contracts uniformly

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantum Noise – Depolarizing Channel Quantum Circuit Representation   (1-p)|  |+p| 

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantum Noise – Amplitude Damping Noise introduced by energy dissipation from the quantum system –Emitting a photon The quantum operation:

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantum Noise – Amplitude Damping Operation Elements: can be thought of as the probability of losing a photon E1 changes |1> into |0> - i.e. losing energy E0 leaves |0> alone, but changes amplitude of |1>

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantum Noise – Amplitude Damping Quantum Circuit Representation:

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantum Noise – Amplitude Damping Bloch sphere Representation: The entire sphere shrinks toward the north pole, |0>

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantum Noise – Phase Damping Describes the loss of quantum information without the loss of energy Electronic states perturbed by interacting with different charges Relative phase between energy eigenstates is lost Random “phase kick”, which causes non diagonal elements to exponentially decay to 0 Operation elements: = probability that photon scattered without losing energy

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Examples of Quantum Noise – Phase Damping Quantum Circuit Representation: Just like Amplitude Damping without the CNOT gate

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Box 8.4 – Why Shrodinger’s Cat Doesn’t Work How come we don’t see superpositions in the world we observe? The book blames: the extreme sensitivity of macroscopic superposition to decoherence i.e it is impossible in practice to isolate the cat and the atom in their box –Unintentional measurements are made Heat leaks from the box The cat bumps into the wall The cat meows Phase damping rapidly decoheres the state into either alive or dead

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Distance measures for Probability Distributions We need to compare the similarity of two probability distributions Two measures are widely used: trace distance and fidelity Trace distance also called L1 distance or Kalmogorov distance Trace Distance of two probability distributions px and qx: The probability of an error in a channel is equal to the trace distance of the probability distribution before it enters the channel and the probability distribution after it leaves the channel

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Distance measures for Probability Distributions Fidelity of two probability distributions: Fidelity is not a metric, when the distributions are equal, the fidelity is 1 Fidelity does not have a clear interpretation in the real world

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Distance measures for Quantum States How close are two quantum states? The trace distance of two quantum states  and  : If  and  commute, then the quantum trace distance between  and  is equal to the classical trace distance between their eigenvalues The trace distance between two single qubit states is half the ordinary Euclidian distance between them on the Bloch sphere

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Trace Preserving Quantum Operations are Contractive Suppose E is a trace preserving quantum operation. Let  and  be density operators. Then No physical process ever increases the distance between two quantum states

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Fidelity of Two Quantum States When  and  commute (diagonal in the same basis), degenerates into the classical fidelity, F(ri, si) of their eigenvalue distributions The fidelity of a pure state and an arbitrary state  : That is, the square root of the overlap

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Uhlmann’s Theorem Given  and  are states of a quantum system Q, introduce a second quantum system R which is a copy of Q Then: Where the maximizaion is over all purifications |  > of  and |  > of  into RQ Proof in the book

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Turning Fidelity into a Metric The angle between states  and  is: The triangle inequality: Fidelity is like an upside down version of trace distance –Decreases as states become more distinguishable –Increases as states become less distinguishable –Instead of contractivity, we have monotonicity

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Monotonicity of Fidelity Suppose E is a trace preserving quantum operation, let  and  be density operators, then: Trace distance and Fidelity are qualitatively equivalent measures of closeness for quantum states –Results about one may be used to deduce equivalent results about the other –Example:

Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman Conclusions Quantum Noise is modeled as an operator on a state and the environment Quantum Noise can be seen as a manipulation of the Bloch sphere Fidelity and Trace distance measure the relative distance between two quantum states Quantum noise and distance will be important in the understanding of quantum error correction next week

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