Quantum Computers Algorithms and Chaos Varenna 5 15

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Quantum Computers, Algorithms and Chaos, Varenna 5 -15 July 2005 Quantum computation with solid

Quantum Computers, Algorithms and Chaos, Varenna 5 -15 July 2005 Quantum computation with solid state devices “Theoretical aspects of superconducting qubits” Rosario Fazio

“Di. Vincenzo list” • • • Two-state system Preparation of the state Controlled time

“Di. Vincenzo list” • • • Two-state system Preparation of the state Controlled time evolution Low decoherence Read-out Geometric quantum computation Applications (Esteve) (Averin)

Outline Lecture 1 - Quantum effects in Josephson junctions - Josephson qubits (charge, flux

Outline Lecture 1 - Quantum effects in Josephson junctions - Josephson qubits (charge, flux and phase) - qubit-qubit coupling - mechanisms of decoherence - Leakage Lecture 2 - Geometric phases - Geometric quantum computation with Josephson qubits - Errors and decoherence Lecture 3 - Few qubits applications - Quantum state transfer - Quantum cloning

Solid state qubits Advantages - Scalability - Flexibility in the design Disadvantages - Static

Solid state qubits Advantages - Scalability - Flexibility in the design Disadvantages - Static errors - Environment

Qubit = two state system How to go from N-dimensional Hilbert space (N >>

Qubit = two state system How to go from N-dimensional Hilbert space (N >> 1) to a two-dimensional one?

All Cooper pairs are ``locked'' into the same quantum state

All Cooper pairs are ``locked'' into the same quantum state

Quasi-particle spectrum There is a gap in the excitation spectrum D D T/Tc

Quasi-particle spectrum There is a gap in the excitation spectrum D D T/Tc

Josephson junction j 1 I j 2 Energy of the ground state • Cooper

Josephson junction j 1 I j 2 Energy of the ground state • Cooper pairs also tunnel through a tunnel barrier ~ -EJcosj • a dc current can flow when no voltage is applied • A small applied voltage results in an alternating current

SQUID Loop j. L F j. R

SQUID Loop j. L F j. R

Dynamics of a Josephson junction j 1 +++++++ _______ X = j 2

Dynamics of a Josephson junction j 1 +++++++ _______ X = j 2

Mechanical analogy

Mechanical analogy

Washboard potential U(f)

Washboard potential U(f)

Quantum mechanical behaviour The charge and the phase are Canonically conjugated variable From a

Quantum mechanical behaviour The charge and the phase are Canonically conjugated variable From a many-body wavefunction to a one (continous) quantum mechanical degree of freedom Two state system

Josephson qubits are realized by a proper embedding of the Josephson junction in a

Josephson qubits are realized by a proper embedding of the Josephson junction in a superconducting nanocircuit Charge qubit 1 Charge-Phase qubit Flux qubit 104 Phase qubit Major difference is in the form of the non-linearity

Phase qubit U(f) Current-biased Josephson junction The qubit is manipulated by varying the current

Phase qubit U(f) Current-biased Josephson junction The qubit is manipulated by varying the current

Flux qubit X j 1 (t) j 2 The qubit is manipulated by varying

Flux qubit X j 1 (t) j 2 The qubit is manipulated by varying the flux through the loop f and the potential landscape (by changing EJ)

Cooper pair box tunable: - external (continuous) gate charge nx - EJ by means

Cooper pair box tunable: - external (continuous) gate charge nx - EJ by means of a SQUID loop

Cooper pair box Cooper pair number, phase difference voltage across junction current through junction

Cooper pair box Cooper pair number, phase difference voltage across junction current through junction

Cooper pair box

Cooper pair box

Cooper pair box CHARGE BASIS V EC å (n - n x) 2 N

Cooper pair box CHARGE BASIS V EC å (n - n x) 2 N Charging EJ n n 2 å( n n IJ Cx Cj n +1 + n + 1 n ) n Josephson tunneling

From the CPB to a spin-1/2 In the |0>, |1> subspace Hamiltonian of a

From the CPB to a spin-1/2 In the |0>, |1> subspace Hamiltonian of a spin In a magnetic field H= Magnetic field in the xz plane

Coherent dynamics - experiments Chiorescu et al 2003 Nakamura et al 1999 NIST Schoelkopf

Coherent dynamics - experiments Chiorescu et al 2003 Nakamura et al 1999 NIST Schoelkopf et al, Yale See also exps by • Chalmers group • NTT group • … Vion et al 2002

Charge qubit coupling - 1 EJ 1 C Vx F EJ 2 C nx

Charge qubit coupling - 1 EJ 1 C Vx F EJ 2 C nx Cx EJ 1 C F EJ 2 C L nx Cx Vx Inductance

Charge qubit coupling - 2 EJ 1 C F EJ 2 C nx Cx

Charge qubit coupling - 2 EJ 1 C F EJ 2 C nx Cx Capacitance

Charge qubit coupling - 3 EJ 1 C F EJ C F F EJ

Charge qubit coupling - 3 EJ 1 C F EJ C F F EJ 2 C nx Cx Josephson Junction

Tunable coupling Variable electrostatic transformer Untunable couplings = more complicated gating The effective coupling

Tunable coupling Variable electrostatic transformer Untunable couplings = more complicated gating The effective coupling is due to the (non-linear) Josephson element The coupling can be switched off even in the presence of parasitic capacitances Averin & Bruder 03

Leakage The Hilbert space is larger than the computational space |m> |m+1> Consequences: a)

Leakage The Hilbert space is larger than the computational space |m> |m+1> Consequences: a) gate operations differ from ideal ones (fidelity) ~Ec |0> b) the system can leak out from the computational Ej space (leakage) qubit |1> One qubit gate Leakage Fidelity Two qubit gate Fidelity

Sources of decoherence in charge qubits electromagnetic fluctuations of the circuit (gaussian) Z discrete

Sources of decoherence in charge qubits electromagnetic fluctuations of the circuit (gaussian) Z discrete noise due to fluctuating background charges (BC) trapped in the substrate or in the junction Quasi-particle tunneling

Reduced dynamics – weak coupling Full density matrix TRACE OUT the environment RDM for

Reduced dynamics – weak coupling Full density matrix TRACE OUT the environment RDM for the qubit: populations and coherences

Reduced dynamics – weak coupling Ø q=0 ”Charge degeneracy” (e = 0 , W

Reduced dynamics – weak coupling Ø q=0 ”Charge degeneracy” (e = 0 , W = EJ) no adiabatic term optimal point Ø q=p/2 ”Pure dephasing” (EJ =0 , W = e) no relaxation

Background charges in charge qubits z Fluctuations due to the environment HQ E E

Background charges in charge qubits z Fluctuations due to the environment HQ E E is a stray voltage or current or charge polarizing the qubit x Charged switching impurities close to a solid state qubit d i+d i E electrostatic coupling charged impurities Electronic band

g=v/g weak vs strongly coupled charges “Weakly coupled” charge Decoherence only depends on =

g=v/g weak vs strongly coupled charges “Weakly coupled” charge Decoherence only depends on = oscillator environment “Strongly coupled” charge • large correlation times of environment • discrete nature • keeps memory of initial conditions • saturation effects for g >>1 • information beyond needed

EJ=0 – exact solution Constant of motion

EJ=0 – exact solution Constant of motion

EJ=0 – exact solution In the long time behavior for a single Background Charge

EJ=0 – exact solution In the long time behavior for a single Background Charge ~ ~ The contribution to dephasing due to “strongly coupled” charges (slow charges) saturates in favour of an almost static energy shift

Background charges and 1/f noise Experiments: BCs are responsibe for 1/f noise in SET

Background charges and 1/f noise Experiments: BCs are responsibe for 1/f noise in SET devices. Standard model: BCs distributed according to with yield the 1/f power spectrum from experiments Warning: an environment with strong memory effects due to the presence of MANY slow BCs

Slow vs fast noise Split “Fast” noise Slow noise ≈ classical noise • slow

Slow vs fast noise Split “Fast” noise Slow noise ≈ classical noise • slow 1/f noise Two-stage elimination in general quantum noise • fast gaussian noise • fast or resonant impurities

Initial defocusing due to 1/f noise Paladino et al. 04 • Slow noise: x(t)

Initial defocusing due to 1/f noise Paladino et al. 04 • Slow noise: x(t) random adiabatic drive g. M <W → adiabatic approximation • Retain fluctuations of the length of the Hamiltonian → longitudinal noise Large Path Nfl central limit theorem → • Static Approximation (SPA) variance • gaussian distributed z expand to second order H in x → quadratic noise Q x Optimal point see also Shnirman Makhlin, 04 Rabenstein et al 04 s 2

Initial defocusing due to 1/f noise Falci, D’Arrigo, Mastellone, Paladino, PRL 2005, cond-mat/0409522 z

Initial defocusing due to 1/f noise Falci, D’Arrigo, Mastellone, Paladino, PRL 2005, cond-mat/0409522 z HQ x with recalibration Optimal point Initial suppression of the signal due essentially to Standard measurements no recalibration SPA inhomogeneuos broadening (no recalibration)