Welcome to John Sidles's home page.
I am a medical researcher and quantum systems engineer, whose research
interests focus upon quantum spin microscopy in service of regenerative
medicine.
The primary objective of my research is SHOW:
the Synthesis for Healing Our Warriors, and SHOW
is the perennial focus of our UW/ISH Intent and Guidance Seminar.


A one-page math syllabus of the 2012 I&G Seminar is viewable here. By design, this syllabus focuses upon aspects of modern mathematical naturality that encompass and unify a broad swathe of STEM enterprises, focusing in particular upon the mathemtically natural elements of separatory transport (NEST).
The mathematical formalism of the 2012 NEST I&G Seminar will be geometric throughout, in fairly strict accord with the mathematical notation of Jack Lee's Introduction to Smooth Manifolds (2003), and encompassing the spin physics of Charles Slichter's Principles of Magnetic Resonance (1990), the quantum informatics of Michael Nielsen and Isaac Chuang's Quantum Computation and Quantum Information (2001), the quantum physics of Abhay Ashtekar and Troy Schilling's Geometrical formulation of quantum mechanics (1997), the geometric thermodynamics of John Krommes and Genze Hu's General theory of Onsager symmetries (1993) and George Ruppeiner's Riemannian geometry in thermodynamic fluctuation theory (1995), implemented within the practical computational framework of Daan Frenkel and Berend Smit's Understanding Molecular Simulation: from Algorithms to Applications, and applied within a reconsideration and extension of the survey by Bob Griffin and coauthors Dynamic nuclear polarization at high magnetic fields (2008).
The broad focus of the 2012 NEST I&G Seminar will accord with the enterprise-centric viewpoint of Calvin Gidding's textbook Unified Separation Science, as updated in light of the above-mentioned advances in geometric classical dynamics, geometric quantum mechanics, and geometric thermodynamics, and then as applied to clinical opportunities in dynamic nuclear polarization (DNP) and in hyperpolarized medical imaging generally.
The envisioned resolution of the 2012 NEST I&G Seminar is sustainment of the historical doubling cadence of magnetic resonance sensitivity in service of the SHOW enterprise, by an operational strategy of speeding the pace, retiring the risks, focusing the capabilities, and uniting the efforts, of the individual enterprises that are associated to SHOW.
An historical aside: Colleagues for whom the history of the STEM enterprise is substantially the history of geometric ideas and methods are referred to Joshiah Willard Gibbs' article A method of geometrical representation of the thermodynamic properties of substances by means of surfaces (1873), which anticipates many of the key physical ideas and geometric mathematical methods of the seminar.
Q: Synthesis for Healing Our
Warriors (SHOW)! What's that?
A: SHOW is an enterprise whose
primary objective is the healing and restoration
to ordinary daily
life of wounded warriors. DNP-ST is an
enabling capability
for SHOW that, by
imaging healing processes at atomic resolution, serves to
speed the pace,
retire the risks, and focus the strategy of achieving the directed
regenerative healing
of even the most severe and intractable battle wounds.
Speeding the
pace, retiring the risks, increasing the capabilities, and focusing
SHOW's strategy has
been the primary motive for developing DNP-ST; this website
documents the
resulting (and accelerating) progress toward SHOW's main objective:
the healing and
restoration to daily life of wounded warriors.


SHOW can be
appreciated as an accelerated realization of the NIH Roadmap
along the
imaging-centric lines of Elias Zerhouni's
2007 Pendergrass Lecture,
as augmented by
transformational new capabilities in observational
epigenomics
that are being
enabled by the advances in DNP-ST reported
here.
New for July 29, 2011
The meeting Black Forest Focus on Soft Matter 6: Magnetic Resonance at
the Microscale is finished, and it was terrific!
Our UW QSE Group's presentation was titled. Transport Mechanisms for Inducing Dynamic Nuclear Polarization in Magnetic Resonance Microsystems: Dynamical Theory, Design Rules, and Experimental Protocols. The gist of it follow …
On average, magnetic resonance channel capacity has doubled every year for 65 years.
Q: Can this doubling pace be
sustained?
A: Yes, via
Dynamically Natural (hyper)
Polarization
by (quantum)
Separative Transport (DNP-ST).
We've been experimenting with various names and acronyms for this new mechanism for hyperpolarization and it looks like the final choice will be Dynamically Natural (hyper) Polarization by (quantum) Separative Transport (DNP-ST) (and version 1.3 of the slides now reflects this convention)
Q: What topics are
covered?
A: (1) Objectives and metrics for
progress in quantum spin imaging and spectroscopy,
(2) Technical means for
progress (from math, science, and engineering), and
(3) Global-scale
enterprises arising from continued progress.
Q: What are the key objectives and technical metrics of this
research?
A: The key objective is to sustain the
historical cadence of advancement,
that is, the yearly doubling since 1946 of
magnetic resonance sensitivity.
The key metric is the
achieved Shannon channel capacity (per the lecture).
Q: Dynamically
Natural (hyper) Polarization by (quantum)
Separative Transport
(DNP-ST)! What's
that?
A: Dynamically
Natural Polarization-exchange
interactions (in leading order) create
nuclear
hyperpolarization by Separatively
Transporting up-spins & down-spins.
DNP-ST is stronger,
faster, and more power-efficient than traditional
DNP,
because the older
method is based upon non-leading transfer dynamics,
as contrasted with
DNP-ST's leading-order separative transport.
Q: Separative Transport
(ST)! What's that?
A: Separative transport is a key
enterprise technology that “just works”
in concentrating and
purifing quantities such as (clockwise from top) quantum
states of laser gain
media (as required for laser output), coherence in quantum
cryptography,
chemical and petroleum feedstocks, desalinated water, photoelectric
and thermoelectric
power, nuclear isotopes, and cell nutrients and electrolytes.
Microscopic details
vary greatly among these processes, yet fundamentally
they all are alike
in that (1) the dynamics is constrained by conservation laws
(for example,
conservation of energy, chemical species, charge, or polarization),
(2) an entropy
gradient is externally induced (via heat, sunlight, electric current,
chemical potential,
or magnetic fields), and (3) the entropy gradient induces
coupled dynamical
flows (for example, flows of 235U and 238U, thermal
energy
and electric
current, quantum correlations, sodium ions and glucose, quanta
in pumped laser gain
media, dissolved salts in seawater, and chemical products
undergoing
distillation) that all accomplish valuable separative purposes
(like sustained
light-amplifying population inversions in laser gain media).
The importance of these separative purposes, and the
richness of their physics,
is the reason
why — for more than a century — the science and
engineering
of separative
transport processes has been among the most lively, dramatic,
strategically vital,
and entrepreneurially job-creating, of all STEM disciplines.
Q: Natural mathematics! What's that?
A: Ideas that don't depend upon
arbitrary conventions (like coordinates) are said
to be
mathematically natural. DNP-ST is born of the union of natural
dynamics
(both classical and
quantum) with First and Second Laws of thermodynamics
(with is the
foundation of the modern theory of separative
transport).
The natural
mathematical foundations of transport theory arise in geometry,
and thus can be
challenging to grasp:
Developing one's
own natural appreciation of mathematics and dynamics
is quite a lot of
work, yet well-worth the effort (as Hermione knows):
The mathematical
“magic” that Hermione is painstakingly teaching to Ron and
Harry
is discussed below. Yes, you have to “mean it to
learn it”.
Q: What is DNP-ST good for?
A: In spin biomicroscopy, DNP-ST
boosts signal strength and reduces noise;
this key capability
sustains the sensitivity-doubling cadence.
Q: Dirac's separative value function! What's that?
A: Dirac's
separative value function is a well-known and and
mathematically
simple
measure of the work
accomplished in isotope separation. It
provides the
starting-point of
Dirac's theory of optimized separative
transport cascades,
which are cascades
that maximize the value function's rate-of-increase.
DNP-ST is the first
nuclear-spin hyperpolarization method that is naturally
compatible with
Dirac's theory (in particular, the slide below derives Dirac's
function as the
thermodynamically natural work accomplished in DNP-ST).
Physically speaking,
DNP-ST separates up- from down-polarization
by processes that
are physically analogous and mathematically isomorphic
to separating
12C
from 13C (or U235 from U238) by
gas centrifuge
cascades.
In strategic terms,
the isotope separation technologies of the 20th century
provided
concentrated sources of energy; now in the 21st century,
DNP-ST technologies
provide concentrated sources of Shannon
channel capacity.
For both isotope
separation and DNP-ST the concentration ratio (of specific
energy / channel capacity) is of
order 105 to 107, such that both technologies
transformationally
augment 20-21st century STEM enterprise capabilities.
Q: Shannon capacity! What's
that?
A: Shannon capacity is the number
of bits-per-second of information
that a sample can
transmit to an observer (it is easy to calculate).
Q: How
far can we push magnetic resonance imaging and spectroscopy?
A: Thanks to new methods for
distilling spin coherence (DNP-ST in particular),
there is quantum
headroom for ~27 more yearly doublings of channel capacity.
Q: What are some consequences
of sustainment via spin hyperpolarization?
A: Comprehensive surveys of
epigenetic structural dynamics.
New for July 22, 2011 For an overvew of our math, science, engineering, and medical objectives, see our answer posted on MathOverflow to Gil Kalai's question "What is a book you would like to write?"
The image below is a link to the the first page of a (reasonably non-technical) 3-page PDF summary of my present research interests. These interests are presently focused upon the experimental demonstration of transport-driven nuclear spin hyperpolarization, for purposes of amplifying signal strength and reducing noise levels in quantum spin biomicroscopy.
For details, read on.

For a (relatively) non-technical overview of this work, see our PNAS Commentary Spin microscopy's heritage, achievements, and prospects
Synopsis: Chapter 4 is the sequel to Chapter 3: Magnetic Dipolar Broadening and Transport Dynamics of Rigid Lattices that we presented at Asilomar (as described below).
In essence, Chapter 4 describes how to turn these ideas into hardware that is useful (among other purposes) for transformationally accelerating the pace of research in regenerative medicine.
Here is our UW Quantum Systems Engineering (QSE) Group's poster "Quantum Spin Microscopy's Emerging Methods, Roadmaps, and Enterprises", as presented at the 52nd ENC, Asilomar, CA.

Our ENC poster is an imagined 21st century edition of Charlie Slichter's celebrated textbook Principles of Magnetic Resonance (1963), specifically an extended version of Slichter's Chapter 3 "Magnetic Dipolar Broadening of Rigid Lattices".
We color-coded the text of our imagined 21st century edition as follows:
We did have one very special visitor ...
... who was Charlie Slichter himself!
Building on the well-validated dipolar spin physics of Slichter's original text, three new topics are introduced:
The green box (below) states a key theorem. To assist non-specialists, the definitions associated to the theorem are stated in detail; thus the theorem can be read in two ways:
Option A Readers familiar with standard definitions in geometric dynamics can skip directly to the statement of the theorem.
Option B Readers familiar with vector-space quantum mechanics formalisms, but not geometric dynamical formalisms, can parse the definitions incrementally, as (effectively) encompassing the main dynamical elements of Nielsen and Chuang's Quantum Computation and Quantum Information (2000) in the mathematical language of four classic texts:
Here is a key theorem that draws upon the above "Yellow Book" math to obtain a result that is useful in large-scale spin simulations. To assist students (especially), mathematical elements associated to the Hilbert state-space appear in blue, while elements associated to the simulation state-space appear in red:
Pulled-back state-spaces are varieties Viewed as an algebraic variety, Kr belongs to the class of r'th secant varieties of n-factor Segre varieties; the many practical applications of this class of varieties are reviewed in Joseph Landsberg's Geometry and the complexity of matrix multiplication (2008).
Algebraic geometers call the simulation state-space Kr a variety (rather than a manifold) because dim Kr is non-constant in consequence of singular points at which the dimensionality of Kr drops and the Riemann curvature of K diverges; in consequence of these singularities Kr (formally speaking) is not a manifold, but rather has a more subtle geometric structure associated to the singularities.
Hilbert space is itself a ruled join As it happens, some joins are singularity-free; Hilbert space itself can be regarded as a linear join of exponentially many trivial (degree zero) algebraic varieties (one variety for each Hilbert space basis vector). From this catholic point of view, the n-particle Hilbert join Hn and the rank-r Kronecker join Kr both are projective algebraic varieties, both are members of a natural stratification of quantum state-spaces (as set forth in the definitions that are associated to quantum pullback theorem given above), and so the natural question "Does Hn pullback onto Kr or does Kr pullback onto Hn?" has the well-posed answer "yes" in both directions.
Pullback is robust A key feature of the quantum pullback theorem is that it holds at all points of Kr (including the singular points). The practical consequence is that as dynamical trajectories approach and pass through the singular points of Kr, simulation codes ``just keep running''... and yield sensible physical predictions that respect symmetries and conservation laws.
Quantum-to-classical transitions are smooth Physically the quantum pullback theorem ensures that quantum-to-classical transitions (and their associated reduction of state-space dimensionality) are dynamically smooth.
The ubiquitous Kronecker product A broader venue for appreciating the quantum pullback theorem is provided by Charles van Loan's terrific article "The ubiquitous Kronecker product". The figure below is van Loan's listing of the (many) natural algebraic properties that the Kronecker product possesses:
The quantum pullback theorem can be regarded as the algebraically natural extension of van Loan's list of natural Kronecker properties to the domain of quantum dynamical potentials and differential forms.
The present poster PDF files are Version 2.5 (April 15, 2011); and they include three extra pages of material relative to the original paper poster.
Here are three audio files:
The Slichter lecture was accompanied by these slides (apologies are extended for their marginal photographic quality):
Further material is presented in Prof. Slichter's recent Physical Chemistry Chemical Physics article "The discovery and demonstration of dynamic nuclear polarization: a personal and historical account"