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Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore [email protected]

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Page 1: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Simulating living molecules with quantum computers

Vlatko Vedral, Oxford & Singapore

[email protected]

Page 2: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Talk Outline

A discussion regarding reductionism;

Quantum effects in biology;

Cold atoms quantum computers;

Simulating energy transfer with quantum computers;

Simulating life?

Page 3: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

In collaboration with…

Ross Dorner, John Goold, Libby Heaney,

Felix Pollock, Felix Binder, Tristan Farrow, Agata Checinska

Mile Gu, Mark Williamson

Discussions with: Martin Aulbach, Oscar Dahlsten, Andrew Garner, Kavan Modi, Giovanni Vacanti.

Funding: Ministry of Education and National Science Foundation, Singapore,Leverhulme Trust, Templeton Foundation, James Martin School (Oxford).

Page 4: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Reductionism or not?

Macroscopic laws are compatible with the microscopic ones, but can they be fully derived from them?

Page 5: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

“At each stage, entirely new laws and generalisations are necessary, requiring inspiration and creativity.”

Different Views

"The ability to reduce everything to simple fundamental laws does not imply the ability to start from those laws and reconstruct the universe.” –”More is Different” Science 1972

Anderson

“Everything is either Physics or Stamp Collecting”

Rutherford

Page 6: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Smallest ClockPeter Pesic, 1993 Eur. J. Phys. 14, 90

𝒍=√𝒉𝑻𝑴E-coli:

Reflects Schroedinger’s beliefs in “What is life?”

(Wigner)

Page 7: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Can we Derive Biological Laws?

Mile Gu

Christian Weedbrook

Alvaro Perales

Michael Nielsen

H k3

31

02

4

3

2

3

H kH k

H kH k

H kH k

H kH k

H kH k

H kH k

H k

H k

H k

Page 8: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Conclusion of Gu et al.

Any averaging Macroscopic Properties of the Periodic Ising Lattice at Ground State are in general, undecidable.

H k3

31

02

4

3

2

3

H kH k

H kH k

H kH k

H kH k

H kH k

H kH k

H k

H k

H k

k = 3

Page 9: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Towards Quantum Simulations of Biological Information Flow

Interface Focus Theme Issue `Computability and the Turning centenary'

Ross Dorner, John Goold and VV

Quantum coherent contributions in biological electron transferRoss Dorner, John Goold, Libby Heaney, Tristan Farrow, V V

Page 10: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Electron transfer in biology

• The basis of all oxidation-reduction reactions in an organism; photosynthesis, vision, respiration...

• Current/future technologies: Molecular electronic devices, organic LEDs

Figure: M. Brownlee, Nature 414, 813 (2001)

Page 11: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Respiratory complex I

Left:. L. A. Sazanov, Biochemistry, 46, 2275 (2007).Right: J. Hirst, Biochem. J., 425, 327 (2010).

Page 12: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Marcus theory

Page 13: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Holstein Hamiltonian

Page 14: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

•Optical excitation using arc lamp ramped from λ = 350 to 550 nm

•RC-I aliquot concn. 1mg/ml in MOPS (at RTP)

•A grating spectrometer was used to analyse the emission then recorded with a Silicon CCD array.

•Sharp rise in emission intensity in the excitation range λ = 350 to 450 nm, peaking at 410nm.

•This coincides with the wavelength range where the FeS clusters and the FMN molecule in RC I absorb strongly.

•Low RC I absorption of excitation wavelengths above 450nm , where most the emission signal is the contribution from arc lamp.

Room temperature emission from Respiratory Complex I (RCI)

600550

500450

400

350

400

450

500

550

0.0

5.0x104

1.0x105

1.5x105

2.0x105

2.5x105

3.0x105

Excitation w

avelength [nm]

Inte

nsity

[arb

. u.]

Emission wavelength [nm]

Arc Lamp emission RC I emission: FMN + FeS

Page 15: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

380 400 420 440 460 480 500 520 540 5600.0

0.5

1.0

29.4 nmEmission

Inte

nsity

[arb

. u.]

Wavelength [nm]

Absorption

Lorentzian Fit

•RC I concn. of 2.5 mg/ml in MOPS solution

•Room temperature excitation using arc lamp centred λ = 389.5nm; Grating spectrometer was used to select the excitation line (FWHM ~12nm)

• Absorption measured with Perkin-Elmer spectrometer

•Red-shifted emission spectrum from RC I (red curve) with respect to the absorption spectrum (blue curve).

•Stokes shift => approximate phonon frequency

•Multiple Lorentzian peak fitting => wavelength difference estimated between the most intense peak in the two curves

Phonon frequency at Room Temperature

Page 16: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Parameters

• On-site energies from reduction potential data1

• Vibronic coupling strength from DFT simulations of inner sphere reorganisation energy2: g = 10 – 30 THz

• Vibronic frequencies from NRVS, resonance Raman spectroscopy and DFT2: ω = 5 - 10 THz

• Tunnelling rates fitted from DFT simulations of in situ electron tunnelling within RC-I1: t = 1 - 10 GHz

1. T. Hayashi and A. A. Stuchebrukhov, PNAS 45, 19157 (2010).2. D. Mitra et al, Biochem. US. 50, 5220 (2011)

Page 17: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org
Page 18: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org
Page 19: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Can we simulate the salient aspects of a biological system in a tunable laboratory setup?

Page 20: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Ultra-cold atoms as open system quantum simulators

A trapped single ion inside a Bose Einstein Condensate C. Zipkes, S. Palzer, C. Sias and M. KohlNature. 464, 388 (2010)

Polaron Problem

C.H. Wu, A. Sommer, and A.W. ZwierlienPRL. 464, 102 230402 (2011)

Page 21: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Greiner Lab – Harvard 2010

Bloch Lab – MPQ 2011

Page 22: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Simulation of Holstein HamiltonianWith Two Component ultra cold atomic mixtures

Polaron Physics in Optical LatticesPhys. Rev. A 76, 011605(R) (2007) Transport of strong-coupling polarons in optical lattices New J. Phys. 10, 033015 (2008)

Dieter Jaksch Group

Trap single impurity on a lattice potential immersed in an auxiliary BEC!

Page 23: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Simulation of Biological Electron Transport

Tune interactions and correlation functions of auxiliary BEC bath to simulate noise

Page 24: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Homeostasis: Regulation of the internal environment to maintain a constant state;

Organization: Being structurally composed of one or more cells, which are the basic units of life.

Metabolism: Transformation of energy by converting chemicals and energy into cellular components and decomposing organic matter. Growth: Maintenance of a higher rate of anabolism than catabolism. A growing organism increases in size in all of its parts, rather than simply accumulating matter.

Adaptation: The ability to change over a period of time in response to the environment.

Reproduction: The ability to produce new individual organisms

Properties of living systems:

Page 25: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

The Colloid and the Crystal (Joseph Wood Krutch)

No wonder that enthusiastic biologists in the nineteenth century, anxious to conclude that there was no qualitative difference between life and chemical processes, tried to believe that the crystal furnished the link, that its growth was actually the same as the growth of a living organism.

But excusable though the fancy was, no one, I think, believes anything of the sort today. Protoplasm is a colloid and the colloids are fundamentally different from the crystalline substances. Instead of crystallizing they jell, and life in its simplest known form is a shapeless blob of rebellious jelly rather than a crystal eternally obeying the most ancient law.

Page 26: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Living Systems = Maxwell’s demonsJacques Monod “Chance and Necessity” (1970)

(Democritus, "Everything existing in the universe is the fruit of chance and necessity.“)

Page 27: Simulating living molecules with quantum computers Vlatko Vedral, Oxford & Singapore vlatko.vedral@qubit.org

Questions

Are biomolecules capable of coherent quantum behaviour?

Are quantum effects just deliberately suppressed or is there any advantage in having a fully quantum energy and matter transport?

How far can quantum computers simulate bio-molecules?

Can we understand laws of chemistry and biology as being consequencs of microsopic quantum physics? (Do physical facts fix all facts?)

Can we build living systems bottom up?