diff --git a/README.rst b/README.rst
index 1f8a772..49dfb33 100644
--- a/README.rst
+++ b/README.rst
@@ -60,15 +60,15 @@ Simulated Annealing
 used for heuristic optimization or approximate Boltzmann sampling. The
 *dwave-samplers* implementation approaches the equilibrium distribution by
 performing updates at a sequence of decreasing temperatures, terminating at the
-target :math:`\beta`.\ [#]_ Each spin is updated once in a fixed order per point
+target `β`.\ [#]_ Each spin is updated once in a fixed order per point
 per temperature according to a Metropolis-Hastings update. When the temperature
 is low the target distribution concentrates, at equilibrium, over ground states
 of the model. Samples are guaranteed to match the equilibrium for long, smooth
 temperature schedules.
 
-.. [#] :math:`\beta` represents the inverse temperature, :math:`1/(k_B T)`, of a
+.. [#] `β` represents the inverse temperature, `1/(k T)`, of a
    `Boltzmann distribution <https://en.wikipedia.org/wiki/Boltzmann_distribution>`_
-   where :math:`T` is the thermodynamic temperature in kelvin and :math:`k_B` is
+   where `T` is the thermodynamic temperature in kelvin and `k` is
    Boltzmann's constant.
 
 >>> from dwave.samplers import SimulatedAnnealingSampler